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You searched for subject:( Naive Bayes classifier). Showing records 1 – 30 of 1390 total matches.

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

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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Vallin S. Likelihood-based classification of single trees in hemi-boreal forests. [Internet] [Thesis]. Umeå University; 2015. [cited 2021 Jan 17]. 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

2. 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 January 17, 2021. 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. 17 Jan 2021.

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 2021 Jan 17]. 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


NSYSU

3. 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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Lai H. Big Data Analytics Platform Establishment: Efficiency Analysis and Spam Email Filtering. [Internet] [Thesis]. NSYSU; 2015. [cited 2021 Jan 17]. 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

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

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 January 17, 2021. 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. 17 Jan 2021.

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 2021 Jan 17]. 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

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

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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Oraji R. A Machine Learning Generalization of LSI-OR. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2021 Jan 17]. 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

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

Degree: PhD, EECS - Computer and Information Sciences, 2013, Case Western Reserve University School of Graduate Studies

 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 School of Graduate Studies. 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 School of Graduate Studies. Accessed January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Pyon YS. Variant Detection Using Next Generation Sequencing Data. [Internet] [Doctoral dissertation]. Case Western Reserve University School of Graduate Studies; 2013. [cited 2021 Jan 17]. 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 School of Graduate Studies; 2013. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645


Brigham Young University

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

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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Lee Jw. Relationships Among Learning Algorithms and Tasks. [Internet] [Doctoral dissertation]. Brigham Young University; 2011. [cited 2021 Jan 17]. 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

8. 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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Krčmář M. Analýza dat z výrobního procesu: Data analysis from the manufacturing process. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. 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

9. 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 January 17, 2021. 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. 17 Jan 2021.

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 2021 Jan 17]. 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

10. 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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Molnár O. Klasifikace dokumentů pomocí umělé inteligence: Artificial Intelligence Document Classification. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. 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


Oklahoma State University

11. Spain, Marc. Study on log event noise reduction by using Naive Bayes supervised machine learning.

Degree: Computer Science, 2019, Oklahoma State University

 This research addresses which Naive Bayes model would be best to predict Windows log events that could be considered noise or in other words not… (more)

Subjects/Keywords: naive bayes; supervised machine learning

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APA (6th Edition):

Spain, M. (2019). Study on log event noise reduction by using Naive Bayes supervised machine learning. (Thesis). Oklahoma State University. Retrieved from http://hdl.handle.net/11244/324912

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):

Spain, Marc. “Study on log event noise reduction by using Naive Bayes supervised machine learning.” 2019. Thesis, Oklahoma State University. Accessed January 17, 2021. http://hdl.handle.net/11244/324912.

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

MLA Handbook (7th Edition):

Spain, Marc. “Study on log event noise reduction by using Naive Bayes supervised machine learning.” 2019. Web. 17 Jan 2021.

Vancouver:

Spain M. Study on log event noise reduction by using Naive Bayes supervised machine learning. [Internet] [Thesis]. Oklahoma State University; 2019. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11244/324912.

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

Council of Science Editors:

Spain M. Study on log event noise reduction by using Naive Bayes supervised machine learning. [Thesis]. Oklahoma State University; 2019. Available from: http://hdl.handle.net/11244/324912

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


University of Saskatchewan

12. 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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Yang X. A wearable real-time system for physical activity recognition and fall detection. [Internet] [Thesis]. University of Saskatchewan; 2010. [cited 2021 Jan 17]. 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

13. 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… …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 (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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Berisha S. Image Classification using Gabor Filters and Machine Learning. [Internet] [Thesis]. Wake Forest University; 2009. [cited 2021 Jan 17]. 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


Linköping University

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

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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Helmersson B. Definition Extraction From Swedish Technical Documentation : Bridging the gap between industry and academy approaches. [Internet] [Thesis]. Linköping University; 2016. [cited 2021 Jan 17]. 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

15. 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 January 17, 2021. 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. 17 Jan 2021.

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 2021 Jan 17]. 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

16. 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 January 17, 2021. 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. 17 Jan 2021.

Vancouver:

Kraus M. Zjednoznačňování slovních významů: Word Sense Disambiguation. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. 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

17. 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 January 17, 2021. 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. 17 Jan 2021.

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 2021 Jan 17]. 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


University of Edinburgh

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

Degree: 2012, University of Edinburgh

 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 (6th 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 (16th Edition):

Maftei, Dan. “Proto-Phoneme Reconstruction as Naive Bayes Inference.” 2012. Thesis, University of Edinburgh. Accessed January 17, 2021. 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 (7th Edition):

Maftei, Dan. “Proto-Phoneme Reconstruction as Naive Bayes Inference.” 2012. Web. 17 Jan 2021.

Vancouver:

Maftei D. Proto-Phoneme Reconstruction as Naive Bayes Inference. [Internet] [Thesis]. University of Edinburgh; 2012. [cited 2021 Jan 17]. 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

19. 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

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

APA (6th 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 (16th 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 January 17, 2021. 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 (7th 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. 17 Jan 2021.

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 2021 Jan 17]. 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

20. 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 (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 January 17, 2021. 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. 17 Jan 2021.

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 2021 Jan 17]. 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

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

Degree: MSc Engg, Faculty of Engineering, 2015, Indian Institute of Science

 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 (6th Edition):

Sharma, G. (2015). Sentiment-Driven Topic Analysis Of Song Lyrics. (Masters Thesis). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/2472

Chicago Manual of Style (16th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2015. Masters Thesis, Indian Institute of Science. Accessed January 17, 2021. http://etd.iisc.ac.in/handle/2005/2472.

MLA Handbook (7th Edition):

Sharma, Govind. “Sentiment-Driven Topic Analysis Of Song Lyrics.” 2015. Web. 17 Jan 2021.

Vancouver:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Internet] [Masters thesis]. Indian Institute of Science; 2015. [cited 2021 Jan 17]. Available from: http://etd.iisc.ac.in/handle/2005/2472.

Council of Science Editors:

Sharma G. Sentiment-Driven Topic Analysis Of Song Lyrics. [Masters Thesis]. Indian Institute of Science; 2015. Available from: http://etd.iisc.ac.in/handle/2005/2472


Brno University of Technology

22. Guňka, Jiří. Adaptivní klient pro sociální síť Twitter: Adaptive Client for Twitter Social Network.

Degree: 2018, Brno University of Technology

 The goal of this term project is create user friendly client of Twitter. They may use methods of machine learning as naive bayes classifier to… (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 (6th Edition):

Guňka, J. (2018). Adaptivní klient pro sociální síť Twitter: Adaptive Client for Twitter Social Network. (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 (16th Edition):

Guňka, Jiří. “Adaptivní klient pro sociální síť Twitter: Adaptive Client for Twitter Social Network.” 2018. Thesis, Brno University of Technology. Accessed January 17, 2021. 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 (7th Edition):

Guňka, Jiří. “Adaptivní klient pro sociální síť Twitter: Adaptive Client for Twitter Social Network.” 2018. Web. 17 Jan 2021.

Vancouver:

Guňka J. Adaptivní klient pro sociální síť Twitter: Adaptive Client for Twitter Social Network. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 17]. 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: Adaptive Client for Twitter Social Network. [Thesis]. Brno University of Technology; 2018. 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

23. Otrusina, Lubomír. Strojové učení v přirozeném jazyce: Machine-Learning in Natural Language Processing.

Degree: 2020, Brno University of Technology

 This beachelor's thesis deals with word sense disambiguation problem using the machine learning techniques. There are shortly presented problems of word sense disambiguation and its… (more)

Subjects/Keywords: strojové učení; učení s učitelem; zpracování přirozeného jazyka; zjednoznačňování slovních významů; naivní Bayesův klasifikátor; Senseval; Semeval; machine learning; supervised learning; natural language processing; word sense disambiguation; naive Bayes classifier; Senseval; Semeval

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

APA (6th Edition):

Otrusina, L. (2020). Strojové učení v přirozeném jazyce: Machine-Learning in Natural Language Processing. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/187950

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):

Otrusina, Lubomír. “Strojové učení v přirozeném jazyce: Machine-Learning in Natural Language Processing.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/187950.

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

MLA Handbook (7th Edition):

Otrusina, Lubomír. “Strojové učení v přirozeném jazyce: Machine-Learning in Natural Language Processing.” 2020. Web. 17 Jan 2021.

Vancouver:

Otrusina L. Strojové učení v přirozeném jazyce: Machine-Learning in Natural Language Processing. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/187950.

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

Council of Science Editors:

Otrusina L. Strojové učení v přirozeném jazyce: Machine-Learning in Natural Language Processing. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/187950

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


Brno University of Technology

24. Brezánský, Tomáš. Přehled současných přístupů ke klasifikacím: Overview of Actual Approaches to Classifications.

Degree: 2020, Brno University of Technology

 This bachelor thesis deals with an overview of current approaches to classifications. It describes various approaches to classifications and their algorithms, focuses on neural networks,… (more)

Subjects/Keywords: klasifikácia; klasifikačné algoritmy; neuronové siete; rozhodovacie stromy; naivný bayesov klasifikátor; algoritmus ID3; Restricted Coulomb Energy (RCE) neurónová sieť; classification; classification algorithms; neural networks; decision trees; naive bayes classifier; ID3 algorithm; Restricted Coulomb Energy (RCE) neural network

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APA (6th Edition):

Brezánský, T. (2020). Přehled současných přístupů ke klasifikacím: Overview of Actual Approaches to Classifications. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/194991

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):

Brezánský, Tomáš. “Přehled současných přístupů ke klasifikacím: Overview of Actual Approaches to Classifications.” 2020. Thesis, Brno University of Technology. Accessed January 17, 2021. http://hdl.handle.net/11012/194991.

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

MLA Handbook (7th Edition):

Brezánský, Tomáš. “Přehled současných přístupů ke klasifikacím: Overview of Actual Approaches to Classifications.” 2020. Web. 17 Jan 2021.

Vancouver:

Brezánský T. Přehled současných přístupů ke klasifikacím: Overview of Actual Approaches to Classifications. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 17]. Available from: http://hdl.handle.net/11012/194991.

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

Council of Science Editors:

Brezánský T. Přehled současných přístupů ke klasifikacím: Overview of Actual Approaches to Classifications. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/194991

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


Brno University of Technology

25. Zapletal, Ondřej. Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů: Comparison of accuracy achieved by traditional models and ensemble methods.

Degree: 2019, Brno University of Technology

 This thesis deals with empirical comparison of traditional and meta-learning models in classification tasks. Accuracy of 12 RapidMiner models was statistically compared on 20 data… (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 (6th Edition):

Zapletal, O. (2019). Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů: Comparison of accuracy achieved by traditional models and ensemble methods. (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 (16th Edition):

Zapletal, Ondřej. “Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů: Comparison of accuracy achieved by traditional models and ensemble methods.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. 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 (7th Edition):

Zapletal, Ondřej. “Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů: Comparison of accuracy achieved by traditional models and ensemble methods.” 2019. Web. 17 Jan 2021.

Vancouver:

Zapletal O. Srovnání správnosti klasifikace pomocí tradičních modelů a meta-modelů: Comparison of accuracy achieved by traditional models and ensemble methods. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. 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: Comparison of accuracy achieved by traditional models and ensemble methods. [Thesis]. Brno University of Technology; 2019. 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


Brno University of Technology

26. Vymlátil, Petr. Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu: Diagnosing Parkinson's disease from analysis of speech recording.

Degree: 2019, Brno University of Technology

 This thesis is focused on diagnosing Parkinson’s disease from analysis of speech recording. Introduction of this work deals with description of voice production mechanism, it’s… (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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Vymlátil, P. (2019). Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu: Diagnosing Parkinson's disease from analysis of speech recording. (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 (16th Edition):

Vymlátil, Petr. “Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu: Diagnosing Parkinson's disease from analysis of speech recording.” 2019. Thesis, Brno University of Technology. Accessed January 17, 2021. 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 (7th Edition):

Vymlátil, Petr. “Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu: Diagnosing Parkinson's disease from analysis of speech recording.” 2019. Web. 17 Jan 2021.

Vancouver:

Vymlátil P. Zjištění Parkinsonovy nemoci na základě analýzy řečového záznamu: Diagnosing Parkinson's disease from analysis of speech recording. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 17]. 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: Diagnosing Parkinson's disease from analysis of speech recording. [Thesis]. Brno University of Technology; 2019. 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


Brno University of Technology

27. Maršánová, Lucie. Analýza experimentálních EKG záznamů: Analysis of experimental ECG.

Degree: 2018, Brno University of Technology

 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… (more)

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 (6th Edition):

Maršánová, L. (2018). Analýza experimentálních EKG záznamů: Analysis of experimental ECG. (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 (16th Edition):

Maršánová, Lucie. “Analýza experimentálních EKG záznamů: Analysis of experimental ECG.” 2018. Thesis, Brno University of Technology. Accessed January 17, 2021. 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 (7th Edition):

Maršánová, Lucie. “Analýza experimentálních EKG záznamů: Analysis of experimental ECG.” 2018. Web. 17 Jan 2021.

Vancouver:

Maršánová L. Analýza experimentálních EKG záznamů: Analysis of experimental ECG. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 17]. 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: Analysis of experimental ECG. [Thesis]. Brno University of Technology; 2018. 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

28. Mackových, Marek. Analýza experimentálních EKG: Analysis of experimental ECG.

Degree: 2018, Brno University of Technology

 This thesis is focused on the analysis of experimental ECG records drawn up in isolated rabbit hearts and aims to describe changes in EKG caused… (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 (6th Edition):

Mackových, M. (2018). Analýza experimentálních EKG: Analysis of experimental ECG. (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 (16th Edition):

Mackových, Marek. “Analýza experimentálních EKG: Analysis of experimental ECG.” 2018. Thesis, Brno University of Technology. Accessed January 17, 2021. 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 (7th Edition):

Mackových, Marek. “Analýza experimentálních EKG: Analysis of experimental ECG.” 2018. Web. 17 Jan 2021.

Vancouver:

Mackových M. Analýza experimentálních EKG: Analysis of experimental ECG. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 17]. 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: Analysis of experimental ECG. [Thesis]. Brno University of Technology; 2018. 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


Laurentian University

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

Degree: 2017, Laurentian University

 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)

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 (6th 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 (16th Edition):

Nour, Abdala. “Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets .” 2017. Thesis, Laurentian University. Accessed January 17, 2021. 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 (7th Edition):

Nour, Abdala. “Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets .” 2017. Web. 17 Jan 2021.

Vancouver:

Nour A. Markov blanket: efficient strategy for feature subset selection method for high dimensionality microarray cancer datasets . [Internet] [Thesis]. Laurentian University; 2017. [cited 2021 Jan 17]. 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


Kansas State University

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

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

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

APA (6th 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 (16th Edition):

Anderson, Michael P. “Bayesian classification of DNA barcodes.” 2009. Doctoral Dissertation, Kansas State University. Accessed January 17, 2021. http://hdl.handle.net/2097/2247.

MLA Handbook (7th Edition):

Anderson, Michael P. “Bayesian classification of DNA barcodes.” 2009. Web. 17 Jan 2021.

Vancouver:

Anderson MP. Bayesian classification of DNA barcodes. [Internet] [Doctoral dissertation]. Kansas State University; 2009. [cited 2021 Jan 17]. 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

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