subject:( Naive Bayes classifier)

University of Saskatchewan

1. Yang, Xiuxin. A wearable real-time system for physical activity recognition and fall detection.

Degree: 2010, University of Saskatchewan

URL: http://hdl.handle.net/10388/etd-09212010-164509

► This thesis work designs and implements a wearable system to recognize physical activities and detect fall in real time. Recognizing people’s physical activity has a… (more)

▼ This thesis work designs and implements a wearable system to recognize physical activities and detect fall in real time. Recognizing people’s physical activity has a broad range of applications. These include helping people maintaining their energy balance by developing health assessment and intervention tools, investigating the links between common diseases and levels of physical activity, and providing feedback to motivate individuals to exercise. In addition, fall detection has become a hot research topic due to the increasing population over 65 throughout the world, as well as the serious effects and problems caused by fall. In this work, the Sun SPOT wireless sensor system is used as the hardware platform to recognize physical activity and detect fall. The sensors with tri-axis accelerometers are used to collect acceleration data, which are further processed and extracted with useful information. The evaluation results from various algorithms indicate that Naive Bayes algorithm works better than other popular algorithms both in accuracy and implementation in this particular application. This wearable system works in two modes: indoor and outdoor, depending on user’s demand. Naive Bayes classifier is successfully implemented in the Sun SPOT sensor. The results of evaluating sampling rate denote that 20 Hz is an optimal sampling frequency in this application. If only one sensor is available to recognize physical activity, the best location is attaching it to the thigh. If two sensors are available, the combination at the left thigh and the right thigh is the best option, 90.52% overall accuracy in the experiment. For fall detection, a master sensor is attached to the chest, and a slave sensor is attached to the thigh to collect acceleration data. The results show that all falls are successfully detected. Forward, backward, leftward and rightward falls have been distinguished from standing and walking using the fall detection algorithm. Normal physical activities are not misclassified as fall, and there is no false alarm in fall detection while the user is wearing the system in daily life. Advisors/Committee Members: Chen, Li, Dinh, Anh, Ko, Seok-Bum, Wahid, Khan A., Chen, Daniel.

Subjects/Keywords: Machine learning; Accelerometer; Naive Bayes classifier; Fall detection; Physical activity recognition

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APA (6^th Edition):

Yang, X. (2010). A wearable real-time system for physical activity recognition and fall detection. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-09212010-164509

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yang, Xiuxin. “A wearable real-time system for physical activity recognition and fall detection.” 2010. Thesis, University of Saskatchewan. Accessed November 22, 2019. http://hdl.handle.net/10388/etd-09212010-164509.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yang, Xiuxin. “A wearable real-time system for physical activity recognition and fall detection.” 2010. Web. 22 Nov 2019.

Vancouver:

Yang X. A wearable real-time system for physical activity recognition and fall detection. [Internet] [Thesis]. University of Saskatchewan; 2010. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10388/etd-09212010-164509.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang X. A wearable real-time system for physical activity recognition and fall detection. [Thesis]. University of Saskatchewan; 2010. Available from: http://hdl.handle.net/10388/etd-09212010-164509

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

2. Vallin, Simon. Likelihood-based classification of single trees in hemi-boreal forests.

Degree: Mathematics and Mathematical Statistics, 2015, Umeå University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99691

►

Determining species of individual trees is important for forest management. In this thesis we investigate if it is possible to discriminate between Norway spruce,… (more)

▼

Determining species of individual trees is important for forest management. In this thesis we investigate if it is possible to discriminate between Norway spruce, Scots pine and deciduous trees from airborne laser scanning data by using unique probability density functions estimated for each specie. We estimate the probability density functions in three different ways: by fitting a beta distribution, histogram density estimation and kernel density estimation. All these methods classifies single laser returns (and not segments of laser returns). The resulting classification is compared with a reference method based on features extracted from airborne laser scanning data.We measure how well a method performs by using the overall accuracy, that is the proportion of correctly predicted trees. The highest overall accuracy obtained by the methods we developed in this thesis is obtained by using histogram-density estimation where an overall accuracy of 83.4 percent is achieved. This result can be compared with the best result from the reference method that produced an overall accuracy of 84.1 percent. The fact that we achieve a high level of correctly classified trees indicates that it is possible to use these types of methods for identification of tree species.

Att kunna artbestämma enskilda träd är viktigt inom skogsbruket. I denna uppsats undersöker vi om det är möjligt att skilja mellan gran, tall och lövträd med data från en flygburen laserskanner genom att skatta en unik täthetsfunktion för varje trädslag. Täthetsfunktionerna skattas på tre olika sätt: genom att anpassa en beta-fördelning, skatta täthetsfunktionen med histogram samt skatta täthetsfunktionen med en kernel täthetsskattning. Alla dessa metoder klassificerar varje enskild laserretur (och inte segment av laserreturer). Resultaten från vår klassificering jämförs sedan med en referensmetod som bygger på särdrag från laserskanner data. Vi mäter hur väl metoderna presterar genom att jämföra den totala precisionen, vilket är andelen korrektklassificerade träd. Den högsta totala precisionen för de framtagna metoderna i denna uppsats erhölls med metoden som bygger på täthetsskattning med histogram. Precisionen för denna metod var 83,4 procent rättklassicerade träd. Detta kan jämföras med en rättklassificering på 84,1 procent vilket är det bästa resultatet för referensmetoderna. Att vi erhåller en så pass hög grad av rättklassificerade träd tyder på att de metoder som vi använder oss av är användbara för trädslagsklassificering.

Subjects/Keywords: Classification of single trees; likelihood-based classification; naive bayes classifier

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APA (6^th Edition):

Vallin, S. (2015). Likelihood-based classification of single trees in hemi-boreal forests. (Thesis). Umeå University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99691

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vallin, Simon. “Likelihood-based classification of single trees in hemi-boreal forests.” 2015. Thesis, Umeå University. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99691.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vallin, Simon. “Likelihood-based classification of single trees in hemi-boreal forests.” 2015. Web. 22 Nov 2019.

Vancouver:

Vallin S. Likelihood-based classification of single trees in hemi-boreal forests. [Internet] [Thesis]. Umeå University; 2015. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99691.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vallin S. Likelihood-based classification of single trees in hemi-boreal forests. [Thesis]. Umeå University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99691

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. SILVA, Antonio Carlos de Castro da. Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem .

Degree: 2016, Universidade Federal de Pernambuco

URL: http://repositorio.ufpe.br/handle/123456789/17823

► A detecção prematura de defeitos nos componentes de linhas de montagem de fabricação é determinante para a obtenção de produtos finais de boa qualidade. Partindo… (more)

Subjects/Keywords: TFT-LCD; plataforma; reconhecimento de imagem; detecção automática; classificador Naive Bayes; TFT-LCD; platform; image recognition; automatic detection; Naive Bayes classifier

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APA (6^th Edition):

SILVA, A. C. d. C. d. (2016). Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/17823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

SILVA, Antonio Carlos de Castro da. “Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem .” 2016. Thesis, Universidade Federal de Pernambuco. Accessed November 22, 2019. http://repositorio.ufpe.br/handle/123456789/17823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

SILVA, Antonio Carlos de Castro da. “Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem .” 2016. Web. 22 Nov 2019.

Vancouver:

SILVA ACdCd. Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2016. [cited 2019 Nov 22]. Available from: http://repositorio.ufpe.br/handle/123456789/17823.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

SILVA ACdCd. Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem . [Thesis]. Universidade Federal de Pernambuco; 2016. Available from: http://repositorio.ufpe.br/handle/123456789/17823

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

4. Kavitha G. Assessment and classification of Retinal images using ant colony Optimization based hybrid methods And support vector machines;.

Degree: Assessment and classification of Retinal images using ant colony Optimization based hybrid methods And support vector machines, 2014, Anna University

URL: http://shodhganga.inflibnet.ac.in/handle/10603/30842

►

In this work digital retinal images in health and diseases have been newlineanalysed using Optimization based algorithm and hybrid techniques The newlineacquired fundus images N… (more)

Subjects/Keywords: Ant Colony Optimization; Naive Bayes classifier; Positive Predictive Value; Receiver Operating Characteristics; Support Vector Machines

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APA (6^th Edition):

G, K. (2014). Assessment and classification of Retinal images using ant colony Optimization based hybrid methods And support vector machines;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/30842

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

G, Kavitha. “Assessment and classification of Retinal images using ant colony Optimization based hybrid methods And support vector machines;.” 2014. Thesis, Anna University. Accessed November 22, 2019. http://shodhganga.inflibnet.ac.in/handle/10603/30842.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

G, Kavitha. “Assessment and classification of Retinal images using ant colony Optimization based hybrid methods And support vector machines;.” 2014. Web. 22 Nov 2019.

Vancouver:

G K. Assessment and classification of Retinal images using ant colony Optimization based hybrid methods And support vector machines;. [Internet] [Thesis]. Anna University; 2014. [cited 2019 Nov 22]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30842.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

G K. Assessment and classification of Retinal images using ant colony Optimization based hybrid methods And support vector machines;. [Thesis]. Anna University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/30842

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Case Western Reserve University

5. Pyon, Yoon Soo. Variant Detection Using Next Generation Sequencing Data.

Degree: PhD, EECS - Computer and Information Sciences, 2013, Case Western Reserve University

URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645

► Genetic variants, including single nucleotide polymorphisms (SNPs) and genomic structural variations (SVs), not only contribute to human diversity, but also are important to human health… (more)

Subjects/Keywords: Bioinformatics; Computer Science; Genetics; structural variation; SNP; next generation sequencing; naive Bayes classifier

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Pyon, Y. S. (2013). Variant Detection Using Next Generation Sequencing Data. (Doctoral Dissertation). Case Western Reserve University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645

Chicago Manual of Style (16^th Edition):

Pyon, Yoon Soo. “Variant Detection Using Next Generation Sequencing Data.” 2013. Doctoral Dissertation, Case Western Reserve University. Accessed November 22, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645.

MLA Handbook (7^th Edition):

Pyon, Yoon Soo. “Variant Detection Using Next Generation Sequencing Data.” 2013. Web. 22 Nov 2019.

Vancouver:

Pyon YS. Variant Detection Using Next Generation Sequencing Data. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2013. [cited 2019 Nov 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645.

Council of Science Editors:

Pyon YS. Variant Detection Using Next Generation Sequencing Data. [Doctoral Dissertation]. Case Western Reserve University; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645

NSYSU

6. Lai, Hsiang-Erh. Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering.

Degree: Master, Electrical Engineering, 2015, NSYSU

URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830115-201456

► The era of big data has come. Except for the profit, big data brings more challenges for data analysis. Thus, the Hadoop platform is proposed… (more)

Subjects/Keywords: TF-IDF; naive Bayes classifier; distributed computing; spam email filtering; Hadoop; big data

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APA (6^th Edition):

Lai, H. (2015). Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830115-201456

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Lai, Hsiang-Erh. “Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering.” 2015. Thesis, NSYSU. Accessed November 22, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830115-201456.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Lai, Hsiang-Erh. “Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering.” 2015. Web. 22 Nov 2019.

Vancouver:

Lai H. Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering. [Internet] [Thesis]. NSYSU; 2015. [cited 2019 Nov 22]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830115-201456.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lai H. Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830115-201456

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Saskatchewan

7. Oraji, Rahim. A Machine Learning Generalization of LSI-OR.

Degree: 2016, University of Saskatchewan

URL: http://hdl.handle.net/10388/7318

► The Level of Service Inventory-Ontario Revision (LSI-OR) is used as a risk/need assessment tool to classify, manage, and treat the offender population so that they… (more)

▼ The Level of Service Inventory-Ontario Revision (LSI-OR) is used as a risk/need assessment tool to classify, manage, and treat the offender population so that they receive supportive services consistent with their custodial needs. This thesis adopts a machine learning approach employing the Naive Bayes technique as an alternative to the LSI-OR. The study was conducted on a group of (72725) offenders with different races and includes males (82.62%) and females (17.38%). Participants were monitored for two years to collect recidivism information. A basic analysis of the dataset revealed that 1) 83.18% of population used a unique pattern to answer 43 LSI-OR items, 2) the total LSI-OR scores in the entire population and also in male and female population followed two beta distribution functions, one for each recidivism class, and 3) the recidivism rate was approximated by a normal distribution function. It was shown that the Naive Bayes classifier can be considered as an extended LSI-OR classifier that accepts multiple continuous and discrete features as input. In other words, the Naive Bayes classifier provides a simple framework for studying the effect of distinct features on classification efficiency and accuracy. The results of running the Naive Bayes classifier with various input features revealed that the Naive Bayes classifier presented better performance than the LSI-OR. However, there was no obvious trend in the accuracies predicted by both models to indicate the superiority of one model over the other. The only feature whose value could be treated as a continuous variable was the LSI-OR score. Many models were created based on continuous and discrete LSI-OR scores producing either the same performance and mean accuracy or slightly better. The dataset contained many features that are never used by the LSI-OR assessment for instance, the offence severity. A model was built at each index of offence severity based on LSI-OR scores and 43 LSI-OR items as input features. The results of running the experiment indicate that considering 43 LSI-OR items gives more stable results in terms of accuracy than the LSI-OR scores. Advisors/Committee Members: Spiteri, Raymond, Eramian, Mark, Stanley, Kevin, Mago, Vijay.

Subjects/Keywords: LSI-OR; Naive Bayes; machine learning; level of service inventory; classifier; algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Oraji, R. (2016). A Machine Learning Generalization of LSI-OR. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7318

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Oraji, Rahim. “A Machine Learning Generalization of LSI-OR.” 2016. Thesis, University of Saskatchewan. Accessed November 22, 2019. http://hdl.handle.net/10388/7318.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Oraji, Rahim. “A Machine Learning Generalization of LSI-OR.” 2016. Web. 22 Nov 2019.

Vancouver:

Oraji R. A Machine Learning Generalization of LSI-OR. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10388/7318.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Oraji R. A Machine Learning Generalization of LSI-OR. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7318

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Kansas State University

8. Anderson, Michael P. Bayesian classification of DNA barcodes.

Degree: PhD, Department of Statistics, 2009, Kansas State University

URL: http://hdl.handle.net/2097/2247

► DNA barcodes are short strands of nucleotide bases taken from the cytochrome c oxidase subunit 1 (COI) of the mitochondrial DNA (mtDNA). A single barcode… (more)

Subjects/Keywords: DNA Barcodes; Bayesian Classification; Species Discovery; Naive Bayes Classifier; Sequential Analysis; High-dimensional Data; Statistics (0463)

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APA (6^th Edition):

Anderson, M. P. (2009). Bayesian classification of DNA barcodes. (Doctoral Dissertation). Kansas State University. Retrieved from http://hdl.handle.net/2097/2247

Chicago Manual of Style (16^th Edition):

Anderson, Michael P. “Bayesian classification of DNA barcodes.” 2009. Doctoral Dissertation, Kansas State University. Accessed November 22, 2019. http://hdl.handle.net/2097/2247.

MLA Handbook (7^th Edition):

Anderson, Michael P. “Bayesian classification of DNA barcodes.” 2009. Web. 22 Nov 2019.

Vancouver:

Anderson MP. Bayesian classification of DNA barcodes. [Internet] [Doctoral dissertation]. Kansas State University; 2009. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2097/2247.

Council of Science Editors:

Anderson MP. Bayesian classification of DNA barcodes. [Doctoral Dissertation]. Kansas State University; 2009. Available from: http://hdl.handle.net/2097/2247

Brno University of Technology

9. Krčmář, Martin. Analýza dat z výrobního procesu .

Degree: 2014, Brno University of Technology

URL: http://hdl.handle.net/11012/31693

► Tato bakalářská práce se věnuje klasifikaci výrobních dat pomocí algoritmů: neuronové sítě, rozhodovací stromy a naivní bayesovský klasifikátor. Z neuronových sítí se věnuje dopředným vícevrstvým… (more)

Subjects/Keywords: neuronová síť; backpropagation; rozhodovací strom; naivní bayesovský klasfikátor; C#; COMES; neural network; backpropagation; decision tree; naive bayes classifier; C#; COMES

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Krčmář, M. (2014). Analýza dat z výrobního procesu . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/31693

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Krčmář, Martin. “Analýza dat z výrobního procesu .” 2014. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/31693.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Krčmář, Martin. “Analýza dat z výrobního procesu .” 2014. Web. 22 Nov 2019.

Vancouver:

Krčmář M. Analýza dat z výrobního procesu . [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/31693.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Krčmář M. Analýza dat z výrobního procesu . [Thesis]. Brno University of Technology; 2014. Available from: http://hdl.handle.net/11012/31693

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brigham Young University

10. Lee, Jun won. Relationships Among Learning Algorithms and Tasks.

Degree: PhD, 2011, Brigham Young University

URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3477&context=etd

► Metalearning aims to obtain knowledge of the relationship between the mechanism of learning and the concrete contexts in which that mechanisms is applicable. As new… (more)

Subjects/Keywords: MetaLearning; Classifier Output Difference; Naive Bayes; radial basis function; network; clustering; algorithm selection model; Computer Sciences

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Lee, J. w. (2011). Relationships Among Learning Algorithms and Tasks. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3477&context=etd

Chicago Manual of Style (16^th Edition):

Lee, Jun won. “Relationships Among Learning Algorithms and Tasks.” 2011. Doctoral Dissertation, Brigham Young University. Accessed November 22, 2019. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3477&context=etd.

MLA Handbook (7^th Edition):

Lee, Jun won. “Relationships Among Learning Algorithms and Tasks.” 2011. Web. 22 Nov 2019.

Vancouver:

Lee Jw. Relationships Among Learning Algorithms and Tasks. [Internet] [Doctoral dissertation]. Brigham Young University; 2011. [cited 2019 Nov 22]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3477&context=etd.

Council of Science Editors:

Lee Jw. Relationships Among Learning Algorithms and Tasks. [Doctoral Dissertation]. Brigham Young University; 2011. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3477&context=etd

Brno University of Technology

11. Vodička, Jan. Metody strojového učení ve zpracování přirozeného jazyka .

Degree: 2012, Brno University of Technology

URL: http://hdl.handle.net/11012/55221

► Bakalářská práce se zajímá hodnocením sentimentu textu v českém jazyce za pomocí metod strojového učení, hlavně za použití naivního bayesovského klasifikátoru. Členění probíhá do dvou kategorií… (more)

Subjects/Keywords: Strojové učení; naivní bayesovský klasifikátor; hodnocení sentimentu; dolování názorů; Twitter; Machine learning; naive Bayes classifier; sentiment analysis; opinion mining; Twitter

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APA (6^th Edition):

Vodička, J. (2012). Metody strojového učení ve zpracování přirozeného jazyka . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/55221

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vodička, Jan. “Metody strojového učení ve zpracování přirozeného jazyka .” 2012. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/55221.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vodička, Jan. “Metody strojového učení ve zpracování přirozeného jazyka .” 2012. Web. 22 Nov 2019.

Vancouver:

Vodička J. Metody strojového učení ve zpracování přirozeného jazyka . [Internet] [Thesis]. Brno University of Technology; 2012. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/55221.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vodička J. Metody strojového učení ve zpracování přirozeného jazyka . [Thesis]. Brno University of Technology; 2012. Available from: http://hdl.handle.net/11012/55221

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

12. Molnár, Ondřej. Klasifikace dokumentů pomocí umělé inteligence .

Degree: 2019, Brno University of Technology

URL: http://hdl.handle.net/11012/180209

► Tato práce se zabývá klasifikací dokumentů za použití umělé inteligence. Popisuje principy klasifikace a strojového učení. Seznamuje s metodami UI a dále detailně představuje metodu… (more)

Subjects/Keywords: umělá inteligence; UI; klasifikace textu; klasifikace dokumentů; klasifikátor; naivní Bayes; strojové učení; zpracování přirozeného jazyka; Artificial intelligence; AI; Text Classification; Document classification; Classifier; Naive Bayes; Machine learning; Natural language processing

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APA (6^th Edition):

Molnár, O. (2019). Klasifikace dokumentů pomocí umělé inteligence . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180209

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Molnár, Ondřej. “Klasifikace dokumentů pomocí umělé inteligence .” 2019. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/180209.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Molnár, Ondřej. “Klasifikace dokumentů pomocí umělé inteligence .” 2019. Web. 22 Nov 2019.

Vancouver:

Molnár O. Klasifikace dokumentů pomocí umělé inteligence . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/180209.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Molnár O. Klasifikace dokumentů pomocí umělé inteligence . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180209

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Linköping University

13. Helmersson, Benjamin. Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches.

Degree: Computer and Information Science, 2016, Linköping University

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131057

► Terminology is concerned with the creation and maintenance of concept systems, terms and definitions. Automatic term and definition extraction is used to simplify this… (more)

Subjects/Keywords: definition extraction; machine learning; pattern matching; naive bayes; regular expressions; rev; classifier; terminology; comparison; definitionsextraktion; maskininlärning; mönstermatchning; reguljära uttryck; rev; klassificerare; terminologi; jämförelse; Language Technology (Computational Linguistics); Språkteknologi (språkvetenskaplig databehandling)

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APA (6^th Edition):

Helmersson, B. (2016). Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131057

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Helmersson, Benjamin. “Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches.” 2016. Thesis, Linköping University. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131057.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Helmersson, Benjamin. “Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches.” 2016. Web. 22 Nov 2019.

Vancouver:

Helmersson B. Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches. [Internet] [Thesis]. Linköping University; 2016. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131057.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Helmersson B. Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches. [Thesis]. Linköping University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131057

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

14. Berisha, Sebastian. Image Classification using Gabor Filters and Machine Learning.

Degree: 2009, Wake Forest University

URL: http://hdl.handle.net/10339/14727

► Feature extraction and classification are important areas of research in image processing and computer vision with a myriad of applications in science and industry. The… (more)

Subjects/Keywords: image processing; image classification; Gabor filter; naive Bayes classifier; SVM

…Bayesian networks. (a) Naive Bayes classifier; (b) Bayesian classifier [… …classification purposes. A naive Bayes classifier is a simple but highly effective probabilistic… …classifier based on the application of Bayes’ theorem. A naive Bayes classifier assumes that the… …conditional probabilities from naive Bayes classifier and a mutual information feature vector are… …naive Bayes classifier. • Demonstration that binary classification of aerial imagery can be…

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APA (6^th Edition):

Berisha, S. (2009). Image Classification using Gabor Filters and Machine Learning. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/14727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Berisha, Sebastian. “Image Classification using Gabor Filters and Machine Learning.” 2009. Thesis, Wake Forest University. Accessed November 22, 2019. http://hdl.handle.net/10339/14727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Berisha, Sebastian. “Image Classification using Gabor Filters and Machine Learning.” 2009. Web. 22 Nov 2019.

Vancouver:

Berisha S. Image Classification using Gabor Filters and Machine Learning. [Internet] [Thesis]. Wake Forest University; 2009. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10339/14727.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Berisha S. Image Classification using Gabor Filters and Machine Learning. [Thesis]. Wake Forest University; 2009. Available from: http://hdl.handle.net/10339/14727

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

15. Petřík, Patrik. Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy .

Degree: 2010, Brno University of Technology

URL: http://hdl.handle.net/11012/14452

► Tato práce se zabývá predikcí akciového trhu. Nejprve jsou uvedena teoretická východiska práce a to především principy technické a psychologické analýzy. Dále jsou uvedeny metody… (more)

Subjects/Keywords: Predikce; technická analýza; psychologická analýza; klasifikace; naivní Bayesův klasifikátor; neuronová síť; evoluční algoritmy.; Stock market prediction; technical analysis; psychological analysis; classification; naive Bayes classifier; neural network; genetic algorithm.

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APA (6^th Edition):

Petřík, P. (2010). Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/14452

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Petřík, Patrik. “Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy .” 2010. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/14452.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Petřík, Patrik. “Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy .” 2010. Web. 22 Nov 2019.

Vancouver:

Petřík P. Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/14452.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Petřík P. Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/14452

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

16. Hrach, Vlastimil. Využití prostředků umělé inteligence na kapitálových trzích .

Degree: 2011, Brno University of Technology

URL: http://hdl.handle.net/11012/6711

► Tato diplomová práce popisuje využití umělé inteligence pro predikci na akciových trzích. Predikce staví netradičně na pravděpodobnostním modelu Bayesova vzorce a na něm založeném naivním… (more)

Subjects/Keywords: Akcie; akciový trh; predikce; umělá inteligente; strojové učení; pravděpodobnost; hypotéza; Bayes; naivní bayesův klasifikátor; klouzavý průměr; Stock; stock market; prediction; artifical inteligence; machine learning; probability; hypothesis; Bayes; naive bayesian classifier; moving average

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APA (6^th Edition):

Hrach, V. (2011). Využití prostředků umělé inteligence na kapitálových trzích . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/6711

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hrach, Vlastimil. “Využití prostředků umělé inteligence na kapitálových trzích .” 2011. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/6711.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hrach, Vlastimil. “Využití prostředků umělé inteligence na kapitálových trzích .” 2011. Web. 22 Nov 2019.

Vancouver:

Hrach V. Využití prostředků umělé inteligence na kapitálových trzích . [Internet] [Thesis]. Brno University of Technology; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/6711.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hrach V. Využití prostředků umělé inteligence na kapitálových trzích . [Thesis]. Brno University of Technology; 2011. Available from: http://hdl.handle.net/11012/6711

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Edinburgh

17. Maftei, Dan. Proto-Phoneme Reconstruction as Naive Bayes Inference.

Degree: 2012, University of Edinburgh

URL: http://hdl.handle.net/1842/8593

► The comparative method is the standard technique by which historical linguists reconstruct ancestral languages from their descendants. The method, however, has received little attention from… (more)

Subjects/Keywords: linguistics; comparative method; computational linguistics; naive bayes

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APA (6^th Edition):

Maftei, D. (2012). Proto-Phoneme Reconstruction as Naive Bayes Inference. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/8593

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Maftei, Dan. “Proto-Phoneme Reconstruction as Naive Bayes Inference.” 2012. Thesis, University of Edinburgh. Accessed November 22, 2019. http://hdl.handle.net/1842/8593.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Maftei, Dan. “Proto-Phoneme Reconstruction as Naive Bayes Inference.” 2012. Web. 22 Nov 2019.

Vancouver:

Maftei D. Proto-Phoneme Reconstruction as Naive Bayes Inference. [Internet] [Thesis]. University of Edinburgh; 2012. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/1842/8593.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maftei D. Proto-Phoneme Reconstruction as Naive Bayes Inference. [Thesis]. University of Edinburgh; 2012. Available from: http://hdl.handle.net/1842/8593

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

KTH

18. Liu, Chang. Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes.

Degree: Computer Science and Communication (CSC), 2016, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334

► Nowadays, the ideas of continuous integration and continuous delivery are under heavy usage in order to achieve rapid software development speed and quick product… (more)

Subjects/Keywords: Data analysis; Log analysis; RNN; Naive Bayes

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APA (6^th Edition):

Liu, C. (2016). Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Liu, Chang. “Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes.” 2016. Thesis, KTH. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Liu, Chang. “Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes.” 2016. Web. 22 Nov 2019.

Vancouver:

Liu C. Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes. [Internet] [Thesis]. KTH; 2016. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Liu C. Data Analysis of Minimally-Structured Heterogeneous Logs : An experimental study of log template extraction and anomaly detection based on Recurrent Neural Network and Naive Bayes. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

19. Sudheep Elayidom, M. Design and Development of data mining Models for the Prediction of Manpower Placement in the Technical Domain.

Degree: 2012, Cochin University of Science and Technology

URL: http://dyuthi.cusat.ac.in/purl/5126

Subjects/Keywords: Dataset; Data mining; Data mining models; Neural networks; Data pre-processing; Neural networks; Naive Bayes classifier

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APA (6^th Edition):

Sudheep Elayidom, M. (2012). Design and Development of data mining Models for the Prediction of Manpower Placement in the Technical Domain. (Thesis). Cochin University of Science and Technology. Retrieved from http://dyuthi.cusat.ac.in/purl/5126

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sudheep Elayidom, M. “Design and Development of data mining Models for the Prediction of Manpower Placement in the Technical Domain.” 2012. Thesis, Cochin University of Science and Technology. Accessed November 22, 2019. http://dyuthi.cusat.ac.in/purl/5126.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sudheep Elayidom, M. “Design and Development of data mining Models for the Prediction of Manpower Placement in the Technical Domain.” 2012. Web. 22 Nov 2019.

Vancouver:

Sudheep Elayidom M. Design and Development of data mining Models for the Prediction of Manpower Placement in the Technical Domain. [Internet] [Thesis]. Cochin University of Science and Technology; 2012. [cited 2019 Nov 22]. Available from: http://dyuthi.cusat.ac.in/purl/5126.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sudheep Elayidom M. Design and Development of data mining Models for the Prediction of Manpower Placement in the Technical Domain. [Thesis]. Cochin University of Science and Technology; 2012. Available from: http://dyuthi.cusat.ac.in/purl/5126

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Indian Institute of Science

20. Sharma, Govind. Sentiment-Driven Topic Analysis Of Song Lyrics.

Degree: 2012, Indian Institute of Science

URL: http://hdl.handle.net/2005/2472

► Sentiment Analysis is an area of Computer Science that deals with the impact a document makes on a user. The very field is further sub-divided… (more)

Subjects/Keywords: Song Lyrics; Non-negative Matrix Factorization (NMF); Music Information Retrival; Music Recommendation Engine; Support Vector Machine (SVM); Naive Bayes Classifier (NBC); Sentiment Analysis; Emotion Analysis; Latent Dirichlet Allocation (LDA); Sentiment Clustering; Sentiment Classification; k-Nearest Neighbour Classi er (k-NNC); Computer Science

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APA (6^th Edition):

Sharma, G. (2012). Sentiment-Driven Topic Analysis Of Song Lyrics. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/2472

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2012. Thesis, Indian Institute of Science. Accessed November 22, 2019. http://hdl.handle.net/2005/2472.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2012. Web. 22 Nov 2019.

Vancouver:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Internet] [Thesis]. Indian Institute of Science; 2012. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/2005/2472.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Thesis]. Indian Institute of Science; 2012. Available from: http://hdl.handle.net/2005/2472

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Indian Institute of Science

21. Sharma, Govind. Sentiment-Driven Topic Analysis Of Song Lyrics.

Degree: 2012, Indian Institute of Science

URL: http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf

► Sentiment Analysis is an area of Computer Science that deals with the impact a document makes on a user. The very field is further sub-divided… (more)

Subjects/Keywords: Song Lyrics; Non-negative Matrix Factorization (NMF); Music Information Retrival; Music Recommendation Engine; Support Vector Machine (SVM); Naive Bayes Classifier (NBC); Sentiment Analysis; Emotion Analysis; Latent Dirichlet Allocation (LDA); Sentiment Clustering; Sentiment Classification; k-Nearest Neighbour Classi er (k-NNC); Computer Science

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APA (6^th Edition):

Sharma, G. (2012). Sentiment-Driven Topic Analysis Of Song Lyrics. (Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2012. Thesis, Indian Institute of Science. Accessed November 22, 2019. http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2012. Web. 22 Nov 2019.

Vancouver:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Internet] [Thesis]. Indian Institute of Science; 2012. [cited 2019 Nov 22]. Available from: http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Thesis]. Indian Institute of Science; 2012. Available from: http://etd.iisc.ernet.in/handle/2005/2472 ; http://etd.ncsi.iisc.ernet.in/abstracts/3190/G25269-Abs.pdf

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

22. Vymlátil, Petr. Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu .

Degree: 2013, Brno University of Technology

URL: http://hdl.handle.net/11012/26564

► Tato práce se zabývá zjištěním Parkinsonovi choroby na základě analýzy řečového záznamu. V úvodních kapitolách je popsán mechanismus vzniku lidského hlasu, jeho základní vlastnosti a… (more)

Subjects/Keywords: Parkinsonova nemoc; hypokinetická dysartrie; řečový signál; klasifikátory; gaussovy smíšené modely; naivní bayesovský klasifikátor; analýza signálu; formant; předzpracování signálu; jitter; schimmer; mRMR; genetické algoritmy.; Parkinson’s disease; hypokinetic dysarthria; voice signal; classifiers; gaussian mixture models; naive bayes classifier; signal analysis; formant; signal preprocessing; jitter; schimmer; mRMR; genetic algorithms.

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APA (6^th Edition):

Vymlátil, P. (2013). Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/26564

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Vymlátil, Petr. “Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu .” 2013. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/26564.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Vymlátil, Petr. “Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu .” 2013. Web. 22 Nov 2019.

Vancouver:

Vymlátil P. Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu . [Internet] [Thesis]. Brno University of Technology; 2013. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/26564.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Vymlátil P. Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu . [Thesis]. Brno University of Technology; 2013. Available from: http://hdl.handle.net/11012/26564

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

University of Southern California

23. Parnandi, Avinash Rao. A framework for automated administration of post stroke assessment test.

Degree: MS, Electrical Engineering, 2010, University of Southern California

URL: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/331648/rec/188

► In this thesis, we undertake a technology feasibility study of automating the Wolf Motor Function Test(WMFT) using the sensor framework and algorithms that we have… (more)

Subjects/Keywords: wearable sensor; inertial sensor; post stroke assessment test; automated administration; Wolf Motor Function Test; WMFT; stroke rehabilitation; stroke assessment; quality of motion; naive Bayes classifier; functional assessment; performance time; gesture time; examiner bias; smoothness of motion

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Parnandi, A. R. (2010). A framework for automated administration of post stroke assessment test. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/331648/rec/188

Chicago Manual of Style (16^th Edition):

Parnandi, Avinash Rao. “A framework for automated administration of post stroke assessment test.” 2010. Masters Thesis, University of Southern California. Accessed November 22, 2019. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/331648/rec/188.

MLA Handbook (7^th Edition):

Parnandi, Avinash Rao. “A framework for automated administration of post stroke assessment test.” 2010. Web. 22 Nov 2019.

Vancouver:

Parnandi AR. A framework for automated administration of post stroke assessment test. [Internet] [Masters thesis]. University of Southern California; 2010. [cited 2019 Nov 22]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/331648/rec/188.

Council of Science Editors:

Parnandi AR. A framework for automated administration of post stroke assessment test. [Masters Thesis]. University of Southern California; 2010. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll127/id/331648/rec/188

Brno University of Technology

24. Guňka, Jiří. Adaptivní klient pro sociální síť Twitter .

Degree: 2011, Brno University of Technology

URL: http://hdl.handle.net/11012/54195

► Účelem této práce je vytvořit uživatelsky přívětivého klienta pro službu Twitter, využívajícího metod strojového učení k doporučování zajímavých příspěvků uživateli na základě jeho dosavadního chování.… (more)

Subjects/Keywords: Twitter; The Jit; Titanium; Appcelator; adaptivní algoritmy; Naivní Bayesův filtr; strojové učení; k-nejbližších sousedů; rozhodovací strom; hyperbolické stromy; stromové mapy; Twitter; The Jit; Titanium; Appcelator; adaptive algorithms; naive bayes classifier; machine learning; k-nearest neighbor; decision tree; hyperbolic tree; treemaps

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Guňka, J. (2011). Adaptivní klient pro sociální síť Twitter . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54195

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Guňka, Jiří. “Adaptivní klient pro sociální síť Twitter .” 2011. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/54195.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Guňka, Jiří. “Adaptivní klient pro sociální síť Twitter .” 2011. Web. 22 Nov 2019.

Vancouver:

Guňka J. Adaptivní klient pro sociální síť Twitter . [Internet] [Thesis]. Brno University of Technology; 2011. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/54195.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Guňka J. Adaptivní klient pro sociální síť Twitter . [Thesis]. Brno University of Technology; 2011. Available from: http://hdl.handle.net/11012/54195

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

25. Maršánová, Lucie. Analýza experimentálních EKG záznamů .

Degree: 2015, Brno University of Technology

URL: http://hdl.handle.net/11012/38908

► Tato práce se zabývá analýzou experimentálních elektrogramů získaných z izolovaných králičích srdcí. V teoretické části práce jsou popsány principy elektrokardiografie, projevy patologické srdeční činnosti v… (more)

▼ Tato práce se zabývá analýzou experimentálních elektrogramů získaných z izolovaných králičích srdcí. V teoretické části práce jsou popsány principy elektrokardiografie, projevy patologické srdeční činnosti v EKG záznamu, často používané metody automatické klasifikace EKG cyklů a také informace o experimentálním výzkumu. První část praktické práce se zabývá manuální klasifikací elektrogramů a jednotlivých patologických událostí v nich zaznamenaných. Výsledky klasifikace budou použity ve veřejně dostupné databázi experimentálních elektrogramů, která nyní vzniká na UBMI VUT v Brně. Klasifikace záznamů byla konzultována s odborníky. Dále je popsán výskyt patologií v průběhu fází experimentů a dle toho zhodnocen vliv opakované ischemie na jejich vznik. Nakonec je realizována automatická klasifikace čtyř typů patologických cyklů čtyřmi klasifikačními metodami (diskriminační analýza, naivní Bayesův klasifikátor, metoda podpůrných vektorů a metoda k-nejbližších sousedů). Pro reprezentaci cyklů při klasifikaci jsou použity morfologické parametry. Celkem je z každého cyklu odvozeno 71 morfologických parametrů. Z nich jsou za pomoci testů Kruskal-Wallis a Tukey-Kramer a také analýzy hlavních komponent určeny ty, které dokáží cykly reprezentovat nejlépe.; This diploma thesis deals with the analysis of experimental electrograms (EG) recorded from isolated rabbit hearts. The theoretical part is focused on the basic principles of electrocardiography, pathological events in ECGs, automatic classification of ECG and experimental cardiological research. The practical part deals with manual classification of individual pathological events – these results will be presented in the database of EG records, which is under developing at the Department of Biomedical Engineering at BUT nowadays. Manual scoring of data was discussed with experts. After that, the presence of pathological events within particular experimental periods was described and influence of ischemia on heart electrical activity was reviewed. In the last part, morphological parameters calculated from EG beats were statistically analised with Kruskal-Wallis and Tukey-Kramer tests and also principal component analysis (PCA) and used as classification features to classify automatically four types of the beats. Classification was realized with four approaches such as discriminant function analysis, k-Nearest Neighbours, support vector machines, and naive Bayes classifier. Advisors/Committee Members: Ronzhina, Marina (advisor).

Subjects/Keywords: Klasifikace experimentálních elektrogramů; ischemie; di-4-ANEPPS; morfologické parametry; metoda nejbližších sousedů; metoda podpůrných vektorů; lineární diskriminační analýza; naivní Bayesův klasifikátor.; Experimental electrogram classification; ischemia; di-4-ANEPPS; morphological parametes; discriminant function analysis; k-Nearest Neighbours; support vector machine; naive Bayes classifier.

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Maršánová, L. (2015). Analýza experimentálních EKG záznamů . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/38908

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Maršánová, Lucie. “Analýza experimentálních EKG záznamů .” 2015. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/38908.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Maršánová, Lucie. “Analýza experimentálních EKG záznamů .” 2015. Web. 22 Nov 2019.

Vancouver:

Maršánová L. Analýza experimentálních EKG záznamů . [Internet] [Thesis]. Brno University of Technology; 2015. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/38908.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Maršánová L. Analýza experimentálních EKG záznamů . [Thesis]. Brno University of Technology; 2015. Available from: http://hdl.handle.net/11012/38908

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

26. Mackových, Marek. Analýza experimentálních EKG .

Degree: 2016, Brno University of Technology

URL: http://hdl.handle.net/11012/59757

► Táto práca sa zaoberá analýzou experimentálnych EKG záznamov vyhotovených na izolovaných králičích srdciach a je zameraná na popis zmien v EKG spôsobených ischémiou a hypertrofiou… (more)

Subjects/Keywords: EKG; ortogonálne zvody; hypertrofia ľavej komory; ischémia; izolované srdce; morfologické parametre; ROC analýza; AUC; DA; SVM; kNN; naivný bayesov klasifikátor; ECG; orthogonal leads; left ventricular hypertrophy; ischemia; isolated heart; morphological parameters; ROC analysis; AUC; DA; SVM; kNN; Naive Bayes Classifier

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Mackových, M. (2016). Analýza experimentálních EKG . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/59757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Mackových, Marek. “Analýza experimentálních EKG .” 2016. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/59757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Mackových, Marek. “Analýza experimentálních EKG .” 2016. Web. 22 Nov 2019.

Vancouver:

Mackových M. Analýza experimentálních EKG . [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/59757.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mackových M. Analýza experimentálních EKG . [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/59757

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Brno University of Technology

27. Zapletal, Ondřej. Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů .

Degree: 2014, Brno University of Technology

URL: http://hdl.handle.net/11012/31719

► Tato práce se zabývá empirickým porovnáváním tradičních modelů a meta-modelů v úlohách klasifikace. Na 20 datových souborech je statisticky porovnána přesnost 12 modelů programu RapidMiner.… (more)

Subjects/Keywords: Strojové učení; meta-learning; k-nejbližších sousedů; rozhodovací strom; neuronové sítě; metoda podpůrných vektorů; naivní Bayesův klasifikátor; Bagging; Stacking; Random Forest; Decision Stump; Machine learning; meta-learning; k-nearest neighbor; decision tree; neural net; support vector machines; naive Bayes classifier; Bagging; Stacking; Random Forest; Decision Stump

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Zapletal, O. (2014). Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/31719

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Zapletal, Ondřej. “Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů .” 2014. Thesis, Brno University of Technology. Accessed November 22, 2019. http://hdl.handle.net/11012/31719.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Zapletal, Ondřej. “Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů .” 2014. Web. 22 Nov 2019.

Vancouver:

Zapletal O. Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů . [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/11012/31719.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zapletal O. Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů . [Thesis]. Brno University of Technology; 2014. Available from: http://hdl.handle.net/11012/31719

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Laurentian University

28. Nour, Abdala. Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets .

Degree: 2017, Laurentian University

URL: https://zone.biblio.laurentian.ca/handle/10219/2848

► Currently, feature subset selection methods are very important, especially in areas of application for which datasets with tens or hundreds of thousands of variables (genes)… (more)

▼ Currently, feature subset selection methods are very important, especially in areas of application for which datasets with tens or hundreds of thousands of variables (genes) are available. Feature subset selection methods help us select a small number of variables out of thousands of genes in microarray datasets for a more accurate and balanced classification. Efficient gene selection can be considered as an easy computational hold of the subsequent classification task, and can give subset of gene set without the loss of classification performance. In classifying microarray data, the main objective of gene selection is to search for the genes while keeping the maximum amount of relevant information about the class and minimize classification errors. In this paper, explain the importance of feature subset selection methods in machine learning and data mining fields. Consequently, the analysis of microarray expression was used to check whether global biological differences underlie common pathological features in different types of cancer datasets and identify genes that might anticipate the clinical behavior of this disease. Using the feature subset selection model for gene expression contains large amounts of raw data that needs analyzing to obtain useful information for specific biological and medical applications. One way of finding relevant (and removing redundant ) genes is by using the Bayesian network based on the Markov blanket [1]. We present and compare the performance of the different approaches to feature (genes) subset selection methods based on Wrapper and Markov Blanket models for the five-microarray cancer datasets. The first way depends on the Memetic algorithms (MAs) used for the feature selection method. The second way uses MRMR (Minimum Redundant Maximum Relevant) for feature subset selection hybridized by genetic search optimization techniques and afterwards compares the Markov blanket model’s performance with the most common classical classification algorithms for the selected set of features. For the memetic algorithm, we present a comparison between two embedded approaches for feature subset selection which are the wrapper filter for feature selection algorithm (WFFSA) and Markov Blanket Embedded Genetic Algorithm (MBEGA). The memetic algorithm depends on genetic operators (crossover, mutation) and the dedicated local search procedure. For comparisons, we depend on two evaluations techniques for learning and testing data which are 10-Kfold cross validation and 30-Bootstraping. The results of the memetic algorithm clearly show MBEGA often outperforms WFFSA methods by yielding more significant differentiation among different microarray cancer datasets. In the second part of this paper, we focus mainly on MRMR for feature subset selection methods and the Bayesian network based on Markov blanket (MB) model that are useful for building a good predictor and defying the curse of dimensionality to improve prediction performance. These methods cover a wide range of…

Subjects/Keywords: Microarray datasets; feature selection methods; genetic algorithms; memetic algorithms; overfitting problem; fitness function; crossover; mutation; Markov Blanket; minimum redundancy-maximum relevant,; support vector machine; naive Bayes; k-nearest-neighbor; ensemble classifier; Bayesian networks

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Nour, A. (2017). Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets . (Thesis). Laurentian University. Retrieved from https://zone.biblio.laurentian.ca/handle/10219/2848

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Nour, Abdala. “Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets .” 2017. Thesis, Laurentian University. Accessed November 22, 2019. https://zone.biblio.laurentian.ca/handle/10219/2848.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Nour, Abdala. “Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets .” 2017. Web. 22 Nov 2019.

Vancouver:

Nour A. Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets . [Internet] [Thesis]. Laurentian University; 2017. [cited 2019 Nov 22]. Available from: https://zone.biblio.laurentian.ca/handle/10219/2848.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Nour A. Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets . [Thesis]. Laurentian University; 2017. Available from: https://zone.biblio.laurentian.ca/handle/10219/2848

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

29. Τσαγγαράτος, Παρασκευάς. Διερεύνηση της τεχνικογεωλογικής συμπεριφοράς των γεωλογικών σχηματισμών με τη χρήση πληροφοριακών συστημάτων.

Degree: 2012, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ)

URL: http://hdl.handle.net/10442/hedi/27515

► The purpose of this thesis was to develop an integrated management framework of raw data that was designed to investigate the engineering geological behavior of… (more)

▼ The purpose of this thesis was to develop an integrated management framework of raw data that was designed to investigate the engineering geological behavior of the geological formations. Specifically, the investigation was to assess the landslide susceptibility, implementation of which was conducted in an area of Xanthi Prefecture, Greece. The development of landslide susceptibility zones was achieved through the application of spatial predictive models that made use of techniques and methods from the scientific branch of Machine Learning and Data Mining. For the purposes of the methodological approach presented in the thesis, eight (8) spatial variables were selected, which correspond to the primary geomorphological and geotechnical data. In particular, the created Layers of Information were related to: the altitude, the morphological gradient, the direction of morphological gradient, the engineering geological units, the distance from the geological boundaries, the distance from the tectonic features, the distance from the hydrographic network and the distance from the road network. The formation of the classes for each Layer of Information where achieved by combining the outcomes of the performed statistical analysis and the knowledge and experience of landslide experts. The indexing of past, archival landslide event material, the examination of the aerial photographs but mostly the field observation helped to create a relevant data set of 163 landslide events. The data set was "enriched" with data that correspond to areas that showed scant chance of failure, characterized as stable slopes. The estimation of the stable slopes was based on the metric distance Mahalanobis that was calculated between each grid cell of the study area and the "characteristic cell failure". The calculated distance was used by a classifier that created two (2) data sets with two (2) possible states that could characterize the grid cell, stable and an unstable. These two (2) data sets were combined to a single set that was used as the basic training data set for each of the prediction models developed in this thesis. Regarding the predictive models, four (4) predictions models were formed. Specifically: A prediction model, Similarity Index Model, which incorporates a modified machine learning algorithm, k-NN, nearest neighbor. A prediction model, Decision Tree Model, which incorporates a modified Decision Tree algorithm, with certainty factors for each produced rule, estimated by the statistical method, Certainty Factor. A prediction model based on the principles of Artificial Neural Networks, Artificial Neural Network Model, that incorporates a back propagation algorithm, and also a modified algorithm with the help of which, it was possible to estimate the optimal architecture of the Neural Network. A prediction model based on Bayesian Theory, Naive Bayes Model, which calculates the probability of failure in every grid cell of the research area. The results of the predictive models were compared with the results obtained by applying…

Subjects/Keywords: Τεχνικογεωλογική διερεύνηση γεωλογικών σχηματισμών; Κατολισθητική επιδεκτικότητα; Μηχανική μάθηση; Εξόρυξη δεδομένων; Γεωγραφικά Συστήματα Πληροφοριών (ΓΣΠ); Τεχνητά νευρωνικά δίκτυα; Δένδρα Απόφασης; Αφελής ταξινομητής του Bayes; Αλγόριθμος εγγύτερου γείτονα; Data mining; Engineering geological research; Landslide susceptibility; Machine learning; Geographical Information Systems (GIS); Artificial neural networks; Decision trees; Naive Bayes classifier; K-nearest neighbor algorithm

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Τσαγγαράτος, . �. (2012). Διερεύνηση της τεχνικογεωλογικής συμπεριφοράς των γεωλογικών σχηματισμών με τη χρήση πληροφοριακών συστημάτων. (Thesis). National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Retrieved from http://hdl.handle.net/10442/hedi/27515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Τσαγγαράτος, Παρασκευάς. “Διερεύνηση της τεχνικογεωλογικής συμπεριφοράς των γεωλογικών σχηματισμών με τη χρήση πληροφοριακών συστημάτων.” 2012. Thesis, National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ). Accessed November 22, 2019. http://hdl.handle.net/10442/hedi/27515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Τσαγγαράτος, Παρασκευάς. “Διερεύνηση της τεχνικογεωλογικής συμπεριφοράς των γεωλογικών σχηματισμών με τη χρήση πληροφοριακών συστημάτων.” 2012. Web. 22 Nov 2019.

Vancouver:

Τσαγγαράτος �. Διερεύνηση της τεχνικογεωλογικής συμπεριφοράς των γεωλογικών σχηματισμών με τη χρήση πληροφοριακών συστημάτων. [Internet] [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2012. [cited 2019 Nov 22]. Available from: http://hdl.handle.net/10442/hedi/27515.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Τσαγγαράτος �. Διερεύνηση της τεχνικογεωλογικής συμπεριφοράς των γεωλογικών σχηματισμών με τη χρήση πληροφοριακών συστημάτων. [Thesis]. National Technical University of Athens (NTUA); Εθνικό Μετσόβιο Πολυτεχνείο (ΕΜΠ); 2012. Available from: http://hdl.handle.net/10442/hedi/27515

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

KTH

30. Svärd, Mikael. COMBATING DISINFORMATION : Detecting fake news with linguistic models and classification algorithms.

Degree: Computer Science and Communication (CSC), 2017, KTH

URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209755

►

The purpose of this study is to examine the possibility of accurately distinguishing fabricated news from authentic news stories using Naive Bayes classification algorithms.… (more)

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The purpose of this study is to examine the possibility of accurately distinguishing fabricated news from authentic news stories using Naive Bayes classification algorithms. This involves a comparative study of two different machine learning classification algorithms. The work also contains an overview of how linguistic text analytics can be utilized in detection purposes and an attempt to extract interesting information was made using Word Frequencies. A discussion of how different actors and parties in businesses and governments are affected by and how they handle deception caused by fake news articles was also made. This study further tries to ascertain what collective steps could be made towards introducing a functioning solution to combat fake news. The result swere inconclusive and the simple Naive Bayes algorithms used did not yieldfully satisfactory results. Word frequencies alone did not give enough information for detection. They were however found to be potentially useful as part of a larger set of algorithms and strategies as part of a solution to handling of misinformation.

Syftet med denna studie är att undersöka möjligheten att på ett pålitligt sättskilja mellan fabricerade och autentiska nyheter med hjälp av Naive bayesalgoritmer,detta involverar en komparativ studie mellan två olika typer avalgoritmer. Arbetet innehåller även en översikt över hur lingvistisk textanalyskan användas för detektion och ett försök gjordes att extrahera information medhjälp av ordfrekvenser. Det förs även en diskussion kring hur de olika aktörernaoch parterna inom näringsliv och regeringar påverkas av och hur de hanterarbedrägeri kopplat till falska nyheter. Studien försöker vidare undersöka vilkasteg som kan tas mot en fungerande lösning för att motarbeta falska nyheter. Algoritmernagav i slutändan otillfredställande resultat och ordfrekvenserna kundeinte ensamma ge nog med information. De tycktes dock potentiellt användbarasom en del i ett större maskineri av algoritmer och strategier ämnade att hanteradesinformation.

Subjects/Keywords: fake news; machine learning; naive bayes; Computer Sciences; Datavetenskap (datalogi)

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APA (6^th Edition):

Svärd, M. (2017). COMBATING DISINFORMATION : Detecting fake news with linguistic models and classification algorithms. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209755

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Svärd, Mikael. “COMBATING DISINFORMATION : Detecting fake news with linguistic models and classification algorithms.” 2017. Thesis, KTH. Accessed November 22, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209755.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Svärd, Mikael. “COMBATING DISINFORMATION : Detecting fake news with linguistic models and classification algorithms.” 2017. Web. 22 Nov 2019.

Vancouver:

Svärd M. COMBATING DISINFORMATION : Detecting fake news with linguistic models and classification algorithms. [Internet] [Thesis]. KTH; 2017. [cited 2019 Nov 22]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209755.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Svärd M. COMBATING DISINFORMATION : Detecting fake news with linguistic models and classification algorithms. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-209755

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Open Access Theses and Dissertations