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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
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-99691
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 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
URL: http://repositorio.ufpe.br/handle/123456789/17823
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
URL: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0830115-201456
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
URL: http://shodhganga.inflibnet.ac.in/handle/10603/30842
Subjects/Keywords: Ant Colony Optimization; Naive Bayes classifier; Positive Predictive Value; Receiver Operating Characteristics; Support Vector Machines
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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
URL: http://hdl.handle.net/10388/7318
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 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
URL: http://rave.ohiolink.edu/etdc/view?acc_num=case1347053645
Subjects/Keywords: Bioinformatics; Computer Science; Genetics; structural variation; SNP; next generation sequencing; naive Bayes classifier
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
APA (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
URL: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3477&context=etd
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
URL: http://hdl.handle.net/11012/31693
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 (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
URL: http://hdl.handle.net/11012/55221
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
URL: http://hdl.handle.net/11012/180209
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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
URL: http://hdl.handle.net/11244/324912
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
URL: http://hdl.handle.net/10388/etd-09212010-164509
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
URL: http://hdl.handle.net/10339/14727
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
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-131057
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
URL: http://hdl.handle.net/11012/14452
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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
URL: http://hdl.handle.net/11012/53207
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
URL: http://hdl.handle.net/11012/6711
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
URL: http://hdl.handle.net/1842/8593
Subjects/Keywords: linguistics; comparative method; computational linguistics; naive bayes
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
URL: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-191334
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
URL: http://dyuthi.cusat.ac.in/purl/5126
Subjects/Keywords: Dataset; Data mining; Data mining models; Neural networks; Data pre-processing; Neural networks; Naive Bayes classifier
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APA · 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 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
URL: http://etd.iisc.ac.in/handle/2005/2472
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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
URL: http://hdl.handle.net/11012/54195
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
URL: http://hdl.handle.net/11012/187950
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
URL: http://hdl.handle.net/11012/194991
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
Record Details
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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager
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
URL: http://hdl.handle.net/11012/31719
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
Record Details
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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
URL: http://hdl.handle.net/11012/26564
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
URL: http://hdl.handle.net/11012/38908
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
URL: http://hdl.handle.net/11012/59757
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
URL: https://zone.biblio.laurentian.ca/handle/10219/2848
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
URL: http://hdl.handle.net/2097/2247
Subjects/Keywords: DNA Barcodes; Bayesian Classification; Species Discovery; Naive Bayes Classifier; Sequential Analysis; High-dimensional Data; Statistics (0463)
Record Details
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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