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You searched for subject:(Bayes classifier). Showing records 1 – 30 of 55 total matches.

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University of Nairobi

1. Choge, Josphat K. Credit evaluation model using naïve bayes classifier a case of a Kenyan Commercial Bank .

Degree: 2012, University of Nairobi

 With the increasing demand for credit facilities for the purpose of development, more and more financial institutions are being established to cater for the need.… (more)

Subjects/Keywords: Credit evaluation model; naïve bayes classifier; Kenyan Commercial Bank

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APA (6th Edition):

Choge, J. K. (2012). Credit evaluation model using naïve bayes classifier a case of a Kenyan Commercial Bank . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10284

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

Chicago Manual of Style (16th Edition):

Choge, Josphat K. “Credit evaluation model using naïve bayes classifier a case of a Kenyan Commercial Bank .” 2012. Thesis, University of Nairobi. Accessed September 21, 2020. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10284.

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

MLA Handbook (7th Edition):

Choge, Josphat K. “Credit evaluation model using naïve bayes classifier a case of a Kenyan Commercial Bank .” 2012. Web. 21 Sep 2020.

Vancouver:

Choge JK. Credit evaluation model using naïve bayes classifier a case of a Kenyan Commercial Bank . [Internet] [Thesis]. University of Nairobi; 2012. [cited 2020 Sep 21]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10284.

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

Council of Science Editors:

Choge JK. Credit evaluation model using naïve bayes classifier a case of a Kenyan Commercial Bank . [Thesis]. University of Nairobi; 2012. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/10284

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


University of Connecticut

2. Narayan, Rahul. High Order Statistics of Natural and Manmade Sounds.

Degree: MS, Biomedical Engineering, 2014, University of Connecticut

  Environmental sounds, both man-made and natural, vary on multiple time and frequency scales generating a large range of temporal, spectral and amplitude modulations that… (more)

Subjects/Keywords: Contrast; Intensity; Sounds; Sound Statistics; Bayes Classifier; Auditory System

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APA (6th Edition):

Narayan, R. (2014). High Order Statistics of Natural and Manmade Sounds. (Masters Thesis). University of Connecticut. Retrieved from https://opencommons.uconn.edu/gs_theses/583

Chicago Manual of Style (16th Edition):

Narayan, Rahul. “High Order Statistics of Natural and Manmade Sounds.” 2014. Masters Thesis, University of Connecticut. Accessed September 21, 2020. https://opencommons.uconn.edu/gs_theses/583.

MLA Handbook (7th Edition):

Narayan, Rahul. “High Order Statistics of Natural and Manmade Sounds.” 2014. Web. 21 Sep 2020.

Vancouver:

Narayan R. High Order Statistics of Natural and Manmade Sounds. [Internet] [Masters thesis]. University of Connecticut; 2014. [cited 2020 Sep 21]. Available from: https://opencommons.uconn.edu/gs_theses/583.

Council of Science Editors:

Narayan R. High Order Statistics of Natural and Manmade Sounds. [Masters Thesis]. University of Connecticut; 2014. Available from: https://opencommons.uconn.edu/gs_theses/583

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

Degree: Mathematics and Mathematical Statistics, 2015, Umeå University

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)

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

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APA (6th 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 (16th Edition):

Vallin, Simon. “Likelihood-based classification of single trees in hemi-boreal forests.” 2015. Thesis, Umeå University. Accessed September 21, 2020. 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 (7th Edition):

Vallin, Simon. “Likelihood-based classification of single trees in hemi-boreal forests.” 2015. Web. 21 Sep 2020.

Vancouver:

Vallin S. Likelihood-based classification of single trees in hemi-boreal forests. [Internet] [Thesis]. Umeå University; 2015. [cited 2020 Sep 21]. 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


Kennesaw State University

4. CHANDRASEKAR, PRIYANGA. Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing.

Degree: MSCS, Computer Science, 2016, Kennesaw State University

  Data Mining is the extraction of valuable information from the patterns of data and turning it into useful knowledge. Data preprocessing is an important… (more)

Subjects/Keywords: Naïve Bayes Classifier; Spam Filter; Preprocessing; Map reduce; Text Classifier; Decision tree; Weka; Discretization; Entropy; Classification; Computer Sciences

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APA (6th Edition):

CHANDRASEKAR, P. (2016). Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/7

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

Chicago Manual of Style (16th Edition):

CHANDRASEKAR, PRIYANGA. “Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing.” 2016. Thesis, Kennesaw State University. Accessed September 21, 2020. https://digitalcommons.kennesaw.edu/cs_etd/7.

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

MLA Handbook (7th Edition):

CHANDRASEKAR, PRIYANGA. “Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing.” 2016. Web. 21 Sep 2020.

Vancouver:

CHANDRASEKAR P. Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2020 Sep 21]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/7.

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

Council of Science Editors:

CHANDRASEKAR P. Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing. [Thesis]. Kennesaw State University; 2016. Available from: https://digitalcommons.kennesaw.edu/cs_etd/7

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

5. 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

 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 (6th 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 (16th 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 September 21, 2020. 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 (7th Edition):

SILVA, Antonio Carlos de Castro da. “Reconhecimento automático de defeitos de fabricação em painéis TFT-LCD através de inspeção de imagem .” 2016. Web. 21 Sep 2020.

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 2020 Sep 21]. 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

6. 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

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

Page 1

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APA (6th 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 (16th 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 September 21, 2020. 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 (7th Edition):

G, Kavitha. “Assessment and classification of Retinal images using ant colony Optimization based hybrid methods And support vector machines;.” 2014. Web. 21 Sep 2020.

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 2020 Sep 21]. 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


University of Saskatchewan

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

Degree: 2016, University of Saskatchewan

 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)

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

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APA (6th 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 (16th Edition):

Oraji, Rahim. “A Machine Learning Generalization of LSI-OR.” 2016. Thesis, University of Saskatchewan. Accessed September 21, 2020. 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 (7th Edition):

Oraji, Rahim. “A Machine Learning Generalization of LSI-OR.” 2016. Web. 21 Sep 2020.

Vancouver:

Oraji R. A Machine Learning Generalization of LSI-OR. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2020 Sep 21]. 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


Case Western Reserve University

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

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

 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 (6th 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 (16th Edition):

Pyon, Yoon Soo. “Variant Detection Using Next Generation Sequencing Data.” 2013. Doctoral Dissertation, Case Western Reserve University. Accessed September 21, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645.

MLA Handbook (7th Edition):

Pyon, Yoon Soo. “Variant Detection Using Next Generation Sequencing Data.” 2013. Web. 21 Sep 2020.

Vancouver:

Pyon YS. Variant Detection Using Next Generation Sequencing Data. [Internet] [Doctoral dissertation]. Case Western Reserve University; 2013. [cited 2020 Sep 21]. 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

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

Degree: Master, Electrical Engineering, 2015, NSYSU

 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 (6th 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 (16th Edition):

Lai, Hsiang-Erh. “Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering.” 2015. Thesis, NSYSU. Accessed September 21, 2020. 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 (7th Edition):

Lai, Hsiang-Erh. “Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering.” 2015. Web. 21 Sep 2020.

Vancouver:

Lai H. Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Sep 21]. 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 Georgia

10. Fogelson, Sergey Victor. What computers can do.

Degree: 2014, University of Georgia

 Several AI techniques are applied in two scientific task domains. Genetic Programming (GP) is used to evolve a set of functions to approximate the static… (more)

Subjects/Keywords: Static Dielectric Constant; Genetic Programming; Symbolic Regression; Translation Start Site; Neural Network; Support Vector Machine; Learning Classifier System; Decision Tree; Naïve Bayes Classifier

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APA (6th Edition):

Fogelson, S. V. (2014). What computers can do. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/24143

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

Chicago Manual of Style (16th Edition):

Fogelson, Sergey Victor. “What computers can do.” 2014. Thesis, University of Georgia. Accessed September 21, 2020. http://hdl.handle.net/10724/24143.

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

MLA Handbook (7th Edition):

Fogelson, Sergey Victor. “What computers can do.” 2014. Web. 21 Sep 2020.

Vancouver:

Fogelson SV. What computers can do. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10724/24143.

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

Council of Science Editors:

Fogelson SV. What computers can do. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/24143

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


Universidade Federal de Viçosa

11. Bruno Geike de Andrade. Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais.

Degree: 2013, Universidade Federal de Viçosa

A distinção entre carvões produzidos com madeira de eucalipto daqueles produzidos com madeira de espécies nativas é importante para a comercialização, controle e fiscalização da… (more)

Subjects/Keywords: TECNOLOGIA E UTILIZACAO DE PRODUTOS FLORESTAIS; Classificador de bayes; Matriz de coocorrência; Análise de textura; Bayes classifier; Co-occurrence matrix; Texture analysis

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APA (6th Edition):

Andrade, B. G. d. (2013). Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais. (Thesis). Universidade Federal de Viçosa. Retrieved from http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4994

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

Chicago Manual of Style (16th Edition):

Andrade, Bruno Geike de. “Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais.” 2013. Thesis, Universidade Federal de Viçosa. Accessed September 21, 2020. http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4994.

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

MLA Handbook (7th Edition):

Andrade, Bruno Geike de. “Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais.” 2013. Web. 21 Sep 2020.

Vancouver:

Andrade BGd. Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais. [Internet] [Thesis]. Universidade Federal de Viçosa; 2013. [cited 2020 Sep 21]. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4994.

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

Council of Science Editors:

Andrade BGd. Discriminação entre carvões provenientes de madeira de Eucalyptus sp e de espécies nativas por análise de imagens digitais. [Thesis]. Universidade Federal de Viçosa; 2013. Available from: http://www.tede.ufv.br/tedesimplificado/tde_busca/arquivo.php?codArquivo=4994

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: Artificial Intelligence Document Classification.

Degree: 2019, Brno University of Technology

 This paper deals with document classification using artificial intelligence. It describes the principles of classification and machine learning. It also introduces AI methods and presents… (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 (6th Edition):

Molnár, O. (2019). Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification. (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 (16th Edition):

Molnár, Ondřej. “Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification.” 2019. Thesis, Brno University of Technology. Accessed September 21, 2020. 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 (7th Edition):

Molnár, Ondřej. “Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification.” 2019. Web. 21 Sep 2020.

Vancouver:

Molnár O. Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 21]. 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: Artificial Intelligence Document Classification. [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


Brigham Young University

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

Degree: PhD, 2011, Brigham Young University

 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 (6th 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 (16th Edition):

Lee, Jun won. “Relationships Among Learning Algorithms and Tasks.” 2011. Doctoral Dissertation, Brigham Young University. Accessed September 21, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3477&context=etd.

MLA Handbook (7th Edition):

Lee, Jun won. “Relationships Among Learning Algorithms and Tasks.” 2011. Web. 21 Sep 2020.

Vancouver:

Lee Jw. Relationships Among Learning Algorithms and Tasks. [Internet] [Doctoral dissertation]. Brigham Young University; 2011. [cited 2020 Sep 21]. 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


University College Cork

14. Bag, Sukantadev. Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images.

Degree: 2015, University College Cork

 A certain type of bacterial inclusion, known as a bacterial microcompartment, was recently identified and imaged through cryo-electron tomography. A reconstructed 3D object from single-axis… (more)

Subjects/Keywords: Statistics; Classification; Polyhedron; Cryo-EM; Metabolosome; Tomography; Shape classification; Support vector machines; Bayes classifier; Image segmentation

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

APA (6th Edition):

Bag, S. (2015). Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images. (Thesis). University College Cork. Retrieved from http://hdl.handle.net/10468/2854

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

Chicago Manual of Style (16th Edition):

Bag, Sukantadev. “Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images.” 2015. Thesis, University College Cork. Accessed September 21, 2020. http://hdl.handle.net/10468/2854.

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

MLA Handbook (7th Edition):

Bag, Sukantadev. “Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images.” 2015. Web. 21 Sep 2020.

Vancouver:

Bag S. Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images. [Internet] [Thesis]. University College Cork; 2015. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10468/2854.

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

Council of Science Editors:

Bag S. Statistical methods for polyhedral shape classification with incomplete data - application to cryo-electron tomographic images. [Thesis]. University College Cork; 2015. Available from: http://hdl.handle.net/10468/2854

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


Brno University of Technology

15. Krčmář, Martin. Analýza dat z výrobního procesu: Data analysis from the manufacturing process.

Degree: 2019, Brno University of Technology

 This thesis deals with the classification of production data using algorithms: neural networks, decision trees and naive bayesian classifier. The neural network is dedicated forward… (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 (6th Edition):

Krčmář, M. (2019). Analýza dat z výrobního procesu: Data analysis from the manufacturing process. (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 (16th Edition):

Krčmář, Martin. “Analýza dat z výrobního procesu: Data analysis from the manufacturing process.” 2019. Thesis, Brno University of Technology. Accessed September 21, 2020. 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 (7th Edition):

Krčmář, Martin. “Analýza dat z výrobního procesu: Data analysis from the manufacturing process.” 2019. Web. 21 Sep 2020.

Vancouver:

Krčmář M. Analýza dat z výrobního procesu: Data analysis from the manufacturing process. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 21]. 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: Data analysis from the manufacturing process. [Thesis]. Brno University of Technology; 2019. 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


Brno University of Technology

16. Vodička, Jan. Metody strojového učení ve zpracování přirozeného jazyka: Machine-Learning Methods in Natural Language Processing.

Degree: 2019, Brno University of Technology

 Bachelor's thesis deals with sentiment analysis using machine learning methods, mainly naive bayes classifier. Input text can be classified as positive or negative message. There… (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 (6th Edition):

Vodička, J. (2019). Metody strojového učení ve zpracování přirozeného jazyka: Machine-Learning Methods in Natural Language Processing. (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 (16th Edition):

Vodička, Jan. “Metody strojového učení ve zpracování přirozeného jazyka: Machine-Learning Methods in Natural Language Processing.” 2019. Thesis, Brno University of Technology. Accessed September 21, 2020. 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 (7th Edition):

Vodička, Jan. “Metody strojového učení ve zpracování přirozeného jazyka: Machine-Learning Methods in Natural Language Processing.” 2019. Web. 21 Sep 2020.

Vancouver:

Vodička J. Metody strojového učení ve zpracování přirozeného jazyka: Machine-Learning Methods in Natural Language Processing. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 21]. 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: Machine-Learning Methods in Natural Language Processing. [Thesis]. Brno University of Technology; 2019. 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

17. Marek, Tomáš. Klasifikace dokumentů podle tématu: Document Classification.

Degree: 2020, Brno University of Technology

 This thesis deals with a document classification, especially with a text classification method. Main goal of this thesis is to analyze two arbitrary document classification… (more)

Subjects/Keywords: klasifikace; Bayesovský klasifikátor; Bayesovský teorém; SVM klasifikátor; SVM; jaderné metody; volba parametrů SVM; simulované žíhání; klasifikace přirozeného jazyka; strojové učení; zpracování přirozeného jazyka; příznaky; classification; Bayes classifier; Bayes' theorem; SVM classifier; SVM; kernel methods; choosing SVM classifier parameters; simulated annealing; natural language classification; machine learning; natural language processing; features

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

APA (6th Edition):

Marek, T. (2020). Klasifikace dokumentů podle tématu: Document Classification. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189612

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

Chicago Manual of Style (16th Edition):

Marek, Tomáš. “Klasifikace dokumentů podle tématu: Document Classification.” 2020. Thesis, Brno University of Technology. Accessed September 21, 2020. http://hdl.handle.net/11012/189612.

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

MLA Handbook (7th Edition):

Marek, Tomáš. “Klasifikace dokumentů podle tématu: Document Classification.” 2020. Web. 21 Sep 2020.

Vancouver:

Marek T. Klasifikace dokumentů podle tématu: Document Classification. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/11012/189612.

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

Council of Science Editors:

Marek T. Klasifikace dokumentů podle tématu: Document Classification. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189612

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


Brno University of Technology

18. Marek, Tomáš. Klasifikace dokumentů podle tématu: Document Classification.

Degree: 2018, Brno University of Technology

 This thesis deals with a document classification, especially with a text classification method. Main goal of this thesis is to analyze two arbitrary document classification… (more)

Subjects/Keywords: klasifikace; Bayesovský klasifikátor; Bayesovský teorém; SVM klasifikátor; SVM; jaderné metody; volba parametrů SVM; simulované žíhání; klasifikace přirozeného jazyka; strojové učení; zpracování přirozeného jazyka; příznaky; classification; Bayes classifier; Bayes' theorem; SVM classifier; SVM; kernel methods; choosing SVM classifier parameters; simulated annealing; natural language classification; machine learning; natural language processing; features

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

APA (6th Edition):

Marek, T. (2018). Klasifikace dokumentů podle tématu: Document Classification. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53401

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

Chicago Manual of Style (16th Edition):

Marek, Tomáš. “Klasifikace dokumentů podle tématu: Document Classification.” 2018. Thesis, Brno University of Technology. Accessed September 21, 2020. http://hdl.handle.net/11012/53401.

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

MLA Handbook (7th Edition):

Marek, Tomáš. “Klasifikace dokumentů podle tématu: Document Classification.” 2018. Web. 21 Sep 2020.

Vancouver:

Marek T. Klasifikace dokumentů podle tématu: Document Classification. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/11012/53401.

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

Council of Science Editors:

Marek T. Klasifikace dokumentů podle tématu: Document Classification. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/53401

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


Brno University of Technology

19. Marek, Tomáš. Klasifikace dokumentů podle tématu: Document Classification.

Degree: 2020, Brno University of Technology

 This thesis deals with a document classification, especially with a text classification method. Main goal of this thesis is to analyze two arbitrary document classification… (more)

Subjects/Keywords: klasifikace; Bayesovský klasifikátor; Bayesovský teorém; SVM klasifikátor; SVM; jaderné metody; volba parametrů SVM; simulované žíhání; klasifikace přirozeného jazyka; strojové učení; zpracování přirozeného jazyka; příznaky; classification; Bayes classifier; Bayes' theorem; SVM classifier; SVM; kernel methods; choosing SVM classifier parameters; simulated annealing; natural language classification; machine learning; natural language processing; features

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

APA (6th Edition):

Marek, T. (2020). Klasifikace dokumentů podle tématu: Document Classification. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/188758

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

Chicago Manual of Style (16th Edition):

Marek, Tomáš. “Klasifikace dokumentů podle tématu: Document Classification.” 2020. Thesis, Brno University of Technology. Accessed September 21, 2020. http://hdl.handle.net/11012/188758.

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

MLA Handbook (7th Edition):

Marek, Tomáš. “Klasifikace dokumentů podle tématu: Document Classification.” 2020. Web. 21 Sep 2020.

Vancouver:

Marek T. Klasifikace dokumentů podle tématu: Document Classification. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/11012/188758.

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

Council of Science Editors:

Marek T. Klasifikace dokumentů podle tématu: Document Classification. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/188758

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


University of Saskatchewan

20. Harrington, Na. Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier.

Degree: 2007, University of Saskatchewan

 Ovarian follicles are spherical structures inside the ovaries which contain developing eggs. Monitoring the development of follicles is necessary for both gynecological medicine (ovarian diseases… (more)

Subjects/Keywords: Naïve Bayes Classifier; Ultrasound Images; Follicle Segmentation; Geometric Active Contour Models

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

APA (6th Edition):

Harrington, N. (2007). Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-09122007-164822

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

Chicago Manual of Style (16th Edition):

Harrington, Na. “Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier.” 2007. Thesis, University of Saskatchewan. Accessed September 21, 2020. http://hdl.handle.net/10388/etd-09122007-164822.

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

MLA Handbook (7th Edition):

Harrington, Na. “Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier.” 2007. Web. 21 Sep 2020.

Vancouver:

Harrington N. Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier. [Internet] [Thesis]. University of Saskatchewan; 2007. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10388/etd-09122007-164822.

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

Council of Science Editors:

Harrington N. Segmentation of human ovarian follicles from ultrasound images acquired in vivo using geometric active contour models and a naïve Bayes classifier. [Thesis]. University of Saskatchewan; 2007. Available from: http://hdl.handle.net/10388/etd-09122007-164822

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


University of Saskatchewan

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

Degree: 2010, University of Saskatchewan

 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)

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

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APA (6th 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 (16th Edition):

Yang, Xiuxin. “A wearable real-time system for physical activity recognition and fall detection.” 2010. Thesis, University of Saskatchewan. Accessed September 21, 2020. 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 (7th Edition):

Yang, Xiuxin. “A wearable real-time system for physical activity recognition and fall detection.” 2010. Web. 21 Sep 2020.

Vancouver:

Yang X. A wearable real-time system for physical activity recognition and fall detection. [Internet] [Thesis]. University of Saskatchewan; 2010. [cited 2020 Sep 21]. 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

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

Degree: 2009, Wake Forest University

 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… …Bayes classifier together with mutual information (to reduce the computation cost in the… …conditional probabilities from naive Bayes classifier and a mutual information feature vector are… 

Page 1 Page 2 Page 3 Page 4 Page 5

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APA (6th 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 (16th Edition):

Berisha, Sebastian. “Image Classification using Gabor Filters and Machine Learning.” 2009. Thesis, Wake Forest University. Accessed September 21, 2020. 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 (7th Edition):

Berisha, Sebastian. “Image Classification using Gabor Filters and Machine Learning.” 2009. Web. 21 Sep 2020.

Vancouver:

Berisha S. Image Classification using Gabor Filters and Machine Learning. [Internet] [Thesis]. Wake Forest University; 2009. [cited 2020 Sep 21]. 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


University of Bradford

23. Ochuko, Rita Erhovwo. E-banking operational risk assessment : a soft computing approach in the context of the Nigerian banking industry.

Degree: PhD, 2012, University of Bradford

 This study investigates E-banking Operational Risk Assessment (ORA) to enable the development of a new ORA framework and methodology. The general view is that E-banking… (more)

Subjects/Keywords: 332.1; E-banking; Operational risk assessment; Soft computing tools; Fuzzy logic; Bayesian networks; Naïve Bayes classifier; Factor analysis; Risk matrices; Nigeria banks

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

APA (6th Edition):

Ochuko, R. E. (2012). E-banking operational risk assessment : a soft computing approach in the context of the Nigerian banking industry. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/5733

Chicago Manual of Style (16th Edition):

Ochuko, Rita Erhovwo. “E-banking operational risk assessment : a soft computing approach in the context of the Nigerian banking industry.” 2012. Doctoral Dissertation, University of Bradford. Accessed September 21, 2020. http://hdl.handle.net/10454/5733.

MLA Handbook (7th Edition):

Ochuko, Rita Erhovwo. “E-banking operational risk assessment : a soft computing approach in the context of the Nigerian banking industry.” 2012. Web. 21 Sep 2020.

Vancouver:

Ochuko RE. E-banking operational risk assessment : a soft computing approach in the context of the Nigerian banking industry. [Internet] [Doctoral dissertation]. University of Bradford; 2012. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10454/5733.

Council of Science Editors:

Ochuko RE. E-banking operational risk assessment : a soft computing approach in the context of the Nigerian banking industry. [Doctoral Dissertation]. University of Bradford; 2012. Available from: http://hdl.handle.net/10454/5733


Linköping University

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

Degree: Computer and Information Science, 2016, Linköping University

  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 (6th 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 (16th Edition):

Helmersson, Benjamin. “Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches.” 2016. Thesis, Linköping University. Accessed September 21, 2020. 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 (7th Edition):

Helmersson, Benjamin. “Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches.” 2016. Web. 21 Sep 2020.

Vancouver:

Helmersson B. Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches. [Internet] [Thesis]. Linköping University; 2016. [cited 2020 Sep 21]. 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


Brno University of Technology

25. Petřík, Patrik. Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy: Stock Market Prediction via Technical and Psychological Analysis.

Degree: 2014, Brno University of Technology

 This work deals with stock market prediction via technical and psychological analysis. We introduce theoretical resources of technical and psychological analysis. We also introduce some… (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 (6th Edition):

Petřík, P. (2014). Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy: Stock Market Prediction via Technical and Psychological Analysis. (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 (16th Edition):

Petřík, Patrik. “Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy: Stock Market Prediction via Technical and Psychological Analysis.” 2014. Thesis, Brno University of Technology. Accessed September 21, 2020. 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 (7th Edition):

Petřík, Patrik. “Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy: Stock Market Prediction via Technical and Psychological Analysis.” 2014. Web. 21 Sep 2020.

Vancouver:

Petřík P. Predikce vývoje akciového trhu prostřednictvím technické a psychologické analýzy: Stock Market Prediction via Technical and Psychological Analysis. [Internet] [Thesis]. Brno University of Technology; 2014. [cited 2020 Sep 21]. 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: Stock Market Prediction via Technical and Psychological Analysis. [Thesis]. Brno University of Technology; 2014. 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

26. Kraus, Michal. Zjednoznačňování slovních významů: Word Sense Disambiguation.

Degree: 2019, Brno University of Technology

 The master's thesis deals with sense disambiguation of Czech words. Reader is informed about task's history and used algorithms are introduced. There are naive Bayes(more)

Subjects/Keywords: zpracování přirozeného jazyka; český jazyk; zjednoznačňování slovních významů; klasifikační algoritmy; naivní Bayesův klasifikátor; klasifikátor AdaBoost; metoda maximální entropie; rozhodovací stromy; natural language processing; Czech language; word sense disambiguation; classifiers; naive Bayes classifier; AdaBoost classifier; maximum entrophy method; decision trees

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

APA (6th Edition):

Kraus, M. (2019). Zjednoznačňování slovních významů: Word Sense Disambiguation. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53207

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

Chicago Manual of Style (16th Edition):

Kraus, Michal. “Zjednoznačňování slovních významů: Word Sense Disambiguation.” 2019. Thesis, Brno University of Technology. Accessed September 21, 2020. http://hdl.handle.net/11012/53207.

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

MLA Handbook (7th Edition):

Kraus, Michal. “Zjednoznačňování slovních významů: Word Sense Disambiguation.” 2019. Web. 21 Sep 2020.

Vancouver:

Kraus M. Zjednoznačňování slovních významů: Word Sense Disambiguation. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/11012/53207.

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

Council of Science Editors:

Kraus M. Zjednoznačňování slovních významů: Word Sense Disambiguation. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53207

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


Brno University of Technology

27. Hrach, Vlastimil. Využití prostředků umělé inteligence na kapitálových trzích: The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market.

Degree: 2019, Brno University of Technology

 The diploma thesis deals with artificial intelligence utilization for predictions on stock markets.The prediction is unconventionally based on Bayes' probabilistic model theorem and on its… (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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Hrach, V. (2019). Využití prostředků umělé inteligence na kapitálových trzích: The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market. (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 (16th Edition):

Hrach, Vlastimil. “Využití prostředků umělé inteligence na kapitálových trzích: The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market.” 2019. Thesis, Brno University of Technology. Accessed September 21, 2020. 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 (7th Edition):

Hrach, Vlastimil. “Využití prostředků umělé inteligence na kapitálových trzích: The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market.” 2019. Web. 21 Sep 2020.

Vancouver:

Hrach V. Využití prostředků umělé inteligence na kapitálových trzích: The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 21]. 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: The Use of Means of Artificial Intelligence for the Decision Making Support on Stock Market. [Thesis]. Brno University of Technology; 2019. 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

28. 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)

 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)

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 (6th 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 (16th 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 September 21, 2020. 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 (7th Edition):

Τσαγγαράτος, Παρασκευάς. “Διερεύνηση της τεχνικογεωλογικής συμπεριφοράς των γεωλογικών σχηματισμών με τη χρήση πληροφοριακών συστημάτων.” 2012. Web. 21 Sep 2020.

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 2020 Sep 21]. 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

29. 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

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

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

APA (6th 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 (16th 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 September 21, 2020. 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 (7th Edition):

Sudheep Elayidom, M. “Design and Development of data mining Models for the Prediction of Manpower Placement in the Technical Domain.” 2012. Web. 21 Sep 2020.

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 2020 Sep 21]. 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


University of Saskatchewan

30. Barnett, Michael Gordon. Semi-automated search for abnormalities in mammographic X-ray images.

Degree: 1900, University of Saskatchewan

 Breast cancer is the most commonly diagnosed cancer among Canadian women; x-ray mammography is the leading screening technique for early detection. This work introduces a… (more)

Subjects/Keywords: mass detection; pattern recognition; biophysics; computer aided detection; wavelet; breast cancer; bayes classifier; mammogram; x-ray imaging; calcification detection

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

APA (6th Edition):

Barnett, M. G. (1900). Semi-automated search for abnormalities in mammographic X-ray images. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-10192006-201550

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

Chicago Manual of Style (16th Edition):

Barnett, Michael Gordon. “Semi-automated search for abnormalities in mammographic X-ray images.” 1900. Thesis, University of Saskatchewan. Accessed September 21, 2020. http://hdl.handle.net/10388/etd-10192006-201550.

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

MLA Handbook (7th Edition):

Barnett, Michael Gordon. “Semi-automated search for abnormalities in mammographic X-ray images.” 1900. Web. 21 Sep 2020.

Vancouver:

Barnett MG. Semi-automated search for abnormalities in mammographic X-ray images. [Internet] [Thesis]. University of Saskatchewan; 1900. [cited 2020 Sep 21]. Available from: http://hdl.handle.net/10388/etd-10192006-201550.

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

Council of Science Editors:

Barnett MG. Semi-automated search for abnormalities in mammographic X-ray images. [Thesis]. University of Saskatchewan; 1900. Available from: http://hdl.handle.net/10388/etd-10192006-201550

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

[1] [2]

.