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You searched for subject:(Classifier). Showing records 1 – 30 of 443 total matches.

[1] [2] [3] [4] [5] … [15]

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University of Manitoba

1. Liu, Yifan. Body part measures in Mandarin Chinese.

Degree: Linguistics, 2014, University of Manitoba

 This thesis mainly discusses a lexical category known by the name “classifier” or “measure” in Mandarin Chinese. According to Chinese descriptive grammars, which are followed… (more)

Subjects/Keywords: classifier

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APA (6th Edition):

Liu, Y. (2014). Body part measures in Mandarin Chinese. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/23819

Chicago Manual of Style (16th Edition):

Liu, Yifan. “Body part measures in Mandarin Chinese.” 2014. Masters Thesis, University of Manitoba. Accessed July 20, 2018. http://hdl.handle.net/1993/23819.

MLA Handbook (7th Edition):

Liu, Yifan. “Body part measures in Mandarin Chinese.” 2014. Web. 20 Jul 2018.

Vancouver:

Liu Y. Body part measures in Mandarin Chinese. [Internet] [Masters thesis]. University of Manitoba; 2014. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/1993/23819.

Council of Science Editors:

Liu Y. Body part measures in Mandarin Chinese. [Masters Thesis]. University of Manitoba; 2014. Available from: http://hdl.handle.net/1993/23819


University of Waterloo

2. Sun, Yong-Peng. A Discriminative Locally-Adaptive Nearest Centroid Classifier for Phoneme Classification.

Degree: 2012, University of Waterloo

 Phoneme classification is a key area of speech recognition. Phonemes are the basic modeling units in modern speech recognition and they are the constructive units… (more)

Subjects/Keywords: classifier; speech recognition

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APA (6th Edition):

Sun, Y. (2012). A Discriminative Locally-Adaptive Nearest Centroid Classifier for Phoneme Classification. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/6968

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):

Sun, Yong-Peng. “A Discriminative Locally-Adaptive Nearest Centroid Classifier for Phoneme Classification.” 2012. Thesis, University of Waterloo. Accessed July 20, 2018. http://hdl.handle.net/10012/6968.

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

MLA Handbook (7th Edition):

Sun, Yong-Peng. “A Discriminative Locally-Adaptive Nearest Centroid Classifier for Phoneme Classification.” 2012. Web. 20 Jul 2018.

Vancouver:

Sun Y. A Discriminative Locally-Adaptive Nearest Centroid Classifier for Phoneme Classification. [Internet] [Thesis]. University of Waterloo; 2012. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/10012/6968.

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

Council of Science Editors:

Sun Y. A Discriminative Locally-Adaptive Nearest Centroid Classifier for Phoneme Classification. [Thesis]. University of Waterloo; 2012. Available from: http://hdl.handle.net/10012/6968

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


University of Alberta

3. Jalali Heravi, Mojdeh. A Study on Interestingness Measures for Associative Classifiers.

Degree: MS, Department of Computing Science, 2009, University of Alberta

 Associative classification is a rule-based approach to classify data relying on association rule mining by discovering associations between a set of features and a class… (more)

Subjects/Keywords: Associative classifier; Interestingness measure

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APA (6th Edition):

Jalali Heravi, M. (2009). A Study on Interestingness Measures for Associative Classifiers. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/5t34sm20v

Chicago Manual of Style (16th Edition):

Jalali Heravi, Mojdeh. “A Study on Interestingness Measures for Associative Classifiers.” 2009. Masters Thesis, University of Alberta. Accessed July 20, 2018. https://era.library.ualberta.ca/files/5t34sm20v.

MLA Handbook (7th Edition):

Jalali Heravi, Mojdeh. “A Study on Interestingness Measures for Associative Classifiers.” 2009. Web. 20 Jul 2018.

Vancouver:

Jalali Heravi M. A Study on Interestingness Measures for Associative Classifiers. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2018 Jul 20]. Available from: https://era.library.ualberta.ca/files/5t34sm20v.

Council of Science Editors:

Jalali Heravi M. A Study on Interestingness Measures for Associative Classifiers. [Masters Thesis]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/5t34sm20v


NSYSU

4. Gao, Chih-Hung. A Hypershperical Classifier Training Method for Pattern Recognition Problems with Overlapping.

Degree: Master, Mechanical Engineering, 2001, NSYSU

Subjects/Keywords: Hypershperical Classifier

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APA (6th Edition):

Gao, C. (2001). A Hypershperical Classifier Training Method for Pattern Recognition Problems with Overlapping. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724101-164651

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):

Gao, Chih-Hung. “A Hypershperical Classifier Training Method for Pattern Recognition Problems with Overlapping.” 2001. Thesis, NSYSU. Accessed July 20, 2018. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724101-164651.

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

MLA Handbook (7th Edition):

Gao, Chih-Hung. “A Hypershperical Classifier Training Method for Pattern Recognition Problems with Overlapping.” 2001. Web. 20 Jul 2018.

Vancouver:

Gao C. A Hypershperical Classifier Training Method for Pattern Recognition Problems with Overlapping. [Internet] [Thesis]. NSYSU; 2001. [cited 2018 Jul 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724101-164651.

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

Council of Science Editors:

Gao C. A Hypershperical Classifier Training Method for Pattern Recognition Problems with Overlapping. [Thesis]. NSYSU; 2001. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0724101-164651

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


Penn State University

5. Rajamohan, Srijith. A Neural Network based Classifier on the Cell Broadband Engine.

Degree: MS, Electrical Engineering, 2009, Penn State University

 The Cell processor is a novel heterogeneous multicore architecture that holds the distinction of being part of the most powerful distributed computing system capable of… (more)

Subjects/Keywords: classifier; Neural Network; Cell

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APA (6th Edition):

Rajamohan, S. (2009). A Neural Network based Classifier on the Cell Broadband Engine. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10110

Chicago Manual of Style (16th Edition):

Rajamohan, Srijith. “A Neural Network based Classifier on the Cell Broadband Engine.” 2009. Masters Thesis, Penn State University. Accessed July 20, 2018. https://etda.libraries.psu.edu/catalog/10110.

MLA Handbook (7th Edition):

Rajamohan, Srijith. “A Neural Network based Classifier on the Cell Broadband Engine.” 2009. Web. 20 Jul 2018.

Vancouver:

Rajamohan S. A Neural Network based Classifier on the Cell Broadband Engine. [Internet] [Masters thesis]. Penn State University; 2009. [cited 2018 Jul 20]. Available from: https://etda.libraries.psu.edu/catalog/10110.

Council of Science Editors:

Rajamohan S. A Neural Network based Classifier on the Cell Broadband Engine. [Masters Thesis]. Penn State University; 2009. Available from: https://etda.libraries.psu.edu/catalog/10110


Universidade Nova

6. Queimadelas, Cátia Cristina Arranca. Automated segmentation, tracking and evaluation of bacteria in microscopy images.

Degree: 2012, Universidade Nova

Dissertação para obtenção do Grau de Mestre em Engenharia Biomédica

Most of the investigation in microbiology relies on microscope imaging and needs to be complemented… (more)

Subjects/Keywords: Segmentation; Alignment; GPL; Classifier; CART

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APA (6th Edition):

Queimadelas, C. C. A. (2012). Automated segmentation, tracking and evaluation of bacteria in microscopy images. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8435

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):

Queimadelas, Cátia Cristina Arranca. “Automated segmentation, tracking and evaluation of bacteria in microscopy images.” 2012. Thesis, Universidade Nova. Accessed July 20, 2018. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8435.

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

MLA Handbook (7th Edition):

Queimadelas, Cátia Cristina Arranca. “Automated segmentation, tracking and evaluation of bacteria in microscopy images.” 2012. Web. 20 Jul 2018.

Vancouver:

Queimadelas CCA. Automated segmentation, tracking and evaluation of bacteria in microscopy images. [Internet] [Thesis]. Universidade Nova; 2012. [cited 2018 Jul 20]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8435.

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

Council of Science Editors:

Queimadelas CCA. Automated segmentation, tracking and evaluation of bacteria in microscopy images. [Thesis]. Universidade Nova; 2012. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/8435

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


Victoria University of Wellington

7. Marzukhi, Syahaneim. Three-cornered coevolution learning classifier systems for classification.

Degree: 2014, Victoria University of Wellington

 This thesis introduces a Three-Cornered Coevolution System that is capable of addressing classification tasks through coevolution (coadaptive evolution) where three different agents (i.e. a generation… (more)

Subjects/Keywords: LCS; Learning Classifier System; Classification

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APA (6th Edition):

Marzukhi, S. (2014). Three-cornered coevolution learning classifier systems for classification. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/3519

Chicago Manual of Style (16th Edition):

Marzukhi, Syahaneim. “Three-cornered coevolution learning classifier systems for classification.” 2014. Doctoral Dissertation, Victoria University of Wellington. Accessed July 20, 2018. http://hdl.handle.net/10063/3519.

MLA Handbook (7th Edition):

Marzukhi, Syahaneim. “Three-cornered coevolution learning classifier systems for classification.” 2014. Web. 20 Jul 2018.

Vancouver:

Marzukhi S. Three-cornered coevolution learning classifier systems for classification. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2014. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/10063/3519.

Council of Science Editors:

Marzukhi S. Three-cornered coevolution learning classifier systems for classification. [Doctoral Dissertation]. Victoria University of Wellington; 2014. Available from: http://hdl.handle.net/10063/3519


Delft University of Technology

8. Post, F. Supporting users with credibility assessments of health Tweets:.

Degree: 2014, Delft University of Technology

 Twitter is one of the most popular social media platforms nowadays with more than 500 million tweets being send on a daily basis. A great… (more)

Subjects/Keywords: twitter; health; classifier; credibility; crowdsourcing

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APA (6th Edition):

Post, F. (2014). Supporting users with credibility assessments of health Tweets:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:ade2482a-15fc-42ba-bb1e-a5b6d9dfa842

Chicago Manual of Style (16th Edition):

Post, F. “Supporting users with credibility assessments of health Tweets:.” 2014. Masters Thesis, Delft University of Technology. Accessed July 20, 2018. http://resolver.tudelft.nl/uuid:ade2482a-15fc-42ba-bb1e-a5b6d9dfa842.

MLA Handbook (7th Edition):

Post, F. “Supporting users with credibility assessments of health Tweets:.” 2014. Web. 20 Jul 2018.

Vancouver:

Post F. Supporting users with credibility assessments of health Tweets:. [Internet] [Masters thesis]. Delft University of Technology; 2014. [cited 2018 Jul 20]. Available from: http://resolver.tudelft.nl/uuid:ade2482a-15fc-42ba-bb1e-a5b6d9dfa842.

Council of Science Editors:

Post F. Supporting users with credibility assessments of health Tweets:. [Masters Thesis]. Delft University of Technology; 2014. Available from: http://resolver.tudelft.nl/uuid:ade2482a-15fc-42ba-bb1e-a5b6d9dfa842


Leiden University

9. Huang, Wenyu. Chinese classifier categorizations and the application to second language acquisition.

Degree: 2017, Leiden University

 Mandarin Chinese is usually considered a numeral classifier language (Del Gobbo, 2014). According to Allan’s (1977) definition, a numeral classifier is an independent morpheme that… (more)

Subjects/Keywords: Chinese classifier; second language acquisition

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APA (6th Edition):

Huang, W. (2017). Chinese classifier categorizations and the application to second language acquisition. (Masters Thesis). Leiden University. Retrieved from http://hdl.handle.net/1887/52141

Chicago Manual of Style (16th Edition):

Huang, Wenyu. “Chinese classifier categorizations and the application to second language acquisition.” 2017. Masters Thesis, Leiden University. Accessed July 20, 2018. http://hdl.handle.net/1887/52141.

MLA Handbook (7th Edition):

Huang, Wenyu. “Chinese classifier categorizations and the application to second language acquisition.” 2017. Web. 20 Jul 2018.

Vancouver:

Huang W. Chinese classifier categorizations and the application to second language acquisition. [Internet] [Masters thesis]. Leiden University; 2017. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/1887/52141.

Council of Science Editors:

Huang W. Chinese classifier categorizations and the application to second language acquisition. [Masters Thesis]. Leiden University; 2017. Available from: http://hdl.handle.net/1887/52141


Texas A&M University

10. Cuenca Martinez, Rodrigo. Novel Technologies for Real-Time Fluorescent Lifetime Imagind Data Acquisition and Processing for Clinical Diagnosis.

Degree: 2017, Texas A&M University

 Endogenous Fluorescence Lifetime Imaging (FLIM) is a noninvasive technique that has been explored with promising results in a wide range of biomedical applications, including clinical… (more)

Subjects/Keywords: Real-time; FLIM; Deconvolution; Classifier

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APA (6th Edition):

Cuenca Martinez, R. (2017). Novel Technologies for Real-Time Fluorescent Lifetime Imagind Data Acquisition and Processing for Clinical Diagnosis. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161556

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):

Cuenca Martinez, Rodrigo. “Novel Technologies for Real-Time Fluorescent Lifetime Imagind Data Acquisition and Processing for Clinical Diagnosis.” 2017. Thesis, Texas A&M University. Accessed July 20, 2018. http://hdl.handle.net/1969.1/161556.

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

MLA Handbook (7th Edition):

Cuenca Martinez, Rodrigo. “Novel Technologies for Real-Time Fluorescent Lifetime Imagind Data Acquisition and Processing for Clinical Diagnosis.” 2017. Web. 20 Jul 2018.

Vancouver:

Cuenca Martinez R. Novel Technologies for Real-Time Fluorescent Lifetime Imagind Data Acquisition and Processing for Clinical Diagnosis. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/1969.1/161556.

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

Council of Science Editors:

Cuenca Martinez R. Novel Technologies for Real-Time Fluorescent Lifetime Imagind Data Acquisition and Processing for Clinical Diagnosis. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161556

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


Boston University

11. Perez-Rogers, Joseph. Development of a minimally invasive molecular biomarker for early detection of lung cancer.

Degree: PhD, Bioinformatics GRS, 2017, Boston University

 The diagnostic evaluation of ever smokers with pulmonary nodules represents a growing clinical challenge due to the implementation of lung cancer screening. The high false-positive… (more)

Subjects/Keywords: Bioinformatics; Biomarker; Classifier; Lung cancer

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APA (6th Edition):

Perez-Rogers, J. (2017). Development of a minimally invasive molecular biomarker for early detection of lung cancer. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/21969

Chicago Manual of Style (16th Edition):

Perez-Rogers, Joseph. “Development of a minimally invasive molecular biomarker for early detection of lung cancer.” 2017. Doctoral Dissertation, Boston University. Accessed July 20, 2018. http://hdl.handle.net/2144/21969.

MLA Handbook (7th Edition):

Perez-Rogers, Joseph. “Development of a minimally invasive molecular biomarker for early detection of lung cancer.” 2017. Web. 20 Jul 2018.

Vancouver:

Perez-Rogers J. Development of a minimally invasive molecular biomarker for early detection of lung cancer. [Internet] [Doctoral dissertation]. Boston University; 2017. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/2144/21969.

Council of Science Editors:

Perez-Rogers J. Development of a minimally invasive molecular biomarker for early detection of lung cancer. [Doctoral Dissertation]. Boston University; 2017. Available from: http://hdl.handle.net/2144/21969


University of Texas – Austin

12. Bansal, Puneet, active 21st century. Analysis and classification of drift susceptible chemosensory responses.

Degree: Electrical and Computer Engineering, 2014, University of Texas – Austin

 This report presents machine learning models that can accurately classify gases by analyzing data from an array of 16 sensors. More specifically, the report presents… (more)

Subjects/Keywords: Ensemble classifier; Gas sensor

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APA (6th Edition):

Bansal, Puneet, a. 2. c. (2014). Analysis and classification of drift susceptible chemosensory responses. (Thesis). University of Texas – Austin. Retrieved from http://hdl.handle.net/2152/28532

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):

Bansal, Puneet, active 21st century. “Analysis and classification of drift susceptible chemosensory responses.” 2014. Thesis, University of Texas – Austin. Accessed July 20, 2018. http://hdl.handle.net/2152/28532.

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

MLA Handbook (7th Edition):

Bansal, Puneet, active 21st century. “Analysis and classification of drift susceptible chemosensory responses.” 2014. Web. 20 Jul 2018.

Vancouver:

Bansal, Puneet a2c. Analysis and classification of drift susceptible chemosensory responses. [Internet] [Thesis]. University of Texas – Austin; 2014. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/2152/28532.

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

Council of Science Editors:

Bansal, Puneet a2c. Analysis and classification of drift susceptible chemosensory responses. [Thesis]. University of Texas – Austin; 2014. Available from: http://hdl.handle.net/2152/28532

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


University of Ballarat

13. Taheri, Sona. Learning Bayesian networks based on optimization approaches.

Degree: PhD, 2012, University of Ballarat

 Learning accurate classifiers from preclassified data is a very active research topic in machine learning and artifcial intelligence. There are numerous classifier paradigms, among which… (more)

Subjects/Keywords: Bayesian networks; Optimization; Classifier paradigms

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APA (6th Edition):

Taheri, S. (2012). Learning Bayesian networks based on optimization approaches. (Doctoral Dissertation). University of Ballarat. Retrieved from http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051

Chicago Manual of Style (16th Edition):

Taheri, Sona. “Learning Bayesian networks based on optimization approaches.” 2012. Doctoral Dissertation, University of Ballarat. Accessed July 20, 2018. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051.

MLA Handbook (7th Edition):

Taheri, Sona. “Learning Bayesian networks based on optimization approaches.” 2012. Web. 20 Jul 2018.

Vancouver:

Taheri S. Learning Bayesian networks based on optimization approaches. [Internet] [Doctoral dissertation]. University of Ballarat; 2012. [cited 2018 Jul 20]. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051.

Council of Science Editors:

Taheri S. Learning Bayesian networks based on optimization approaches. [Doctoral Dissertation]. University of Ballarat; 2012. Available from: http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/36051

14. Štefka David. USING FUZZY INTEGRAL AS AN AGGREGATION OPERATOR IN DYNAMIC CLASSIFIER SYSTEMS .

Degree: 2013, Czech University of Technology

Using Fuzzy Integral in Dynamic Classifier Systems; Using Fuzzy Integral in Dynamic Classifier Systems Advisors/Committee Members: Holeňa Martin (advisor).

Subjects/Keywords: classifier combining; dynamic classifier systems; fuzzy integral; fuzzy measure

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APA (6th Edition):

David, . (2013). USING FUZZY INTEGRAL AS AN AGGREGATION OPERATOR IN DYNAMIC CLASSIFIER SYSTEMS . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/19242

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):

David, Štefka. “USING FUZZY INTEGRAL AS AN AGGREGATION OPERATOR IN DYNAMIC CLASSIFIER SYSTEMS .” 2013. Thesis, Czech University of Technology. Accessed July 20, 2018. http://hdl.handle.net/10467/19242.

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

MLA Handbook (7th Edition):

David, Štefka. “USING FUZZY INTEGRAL AS AN AGGREGATION OPERATOR IN DYNAMIC CLASSIFIER SYSTEMS .” 2013. Web. 20 Jul 2018.

Vancouver:

David . USING FUZZY INTEGRAL AS AN AGGREGATION OPERATOR IN DYNAMIC CLASSIFIER SYSTEMS . [Internet] [Thesis]. Czech University of Technology; 2013. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/10467/19242.

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

Council of Science Editors:

David . USING FUZZY INTEGRAL AS AN AGGREGATION OPERATOR IN DYNAMIC CLASSIFIER SYSTEMS . [Thesis]. Czech University of Technology; 2013. Available from: http://hdl.handle.net/10467/19242

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


University of Alberta

15. Sepehri Rad, Hoda. Analyzing Controversy in Wikipedia.

Degree: PhD, Department of Computing Science, 2015, University of Alberta

 This thesis describes a novel controversy model that helps the current manual process in automatically identifying controversial Wikipedia articles and warning readers about disputable information… (more)

Subjects/Keywords: Controversy; Structure classifier; Wikipedia; Collaboration network

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APA (6th Edition):

Sepehri Rad, H. (2015). Analyzing Controversy in Wikipedia. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/crr171x26n

Chicago Manual of Style (16th Edition):

Sepehri Rad, Hoda. “Analyzing Controversy in Wikipedia.” 2015. Doctoral Dissertation, University of Alberta. Accessed July 20, 2018. https://era.library.ualberta.ca/files/crr171x26n.

MLA Handbook (7th Edition):

Sepehri Rad, Hoda. “Analyzing Controversy in Wikipedia.” 2015. Web. 20 Jul 2018.

Vancouver:

Sepehri Rad H. Analyzing Controversy in Wikipedia. [Internet] [Doctoral dissertation]. University of Alberta; 2015. [cited 2018 Jul 20]. Available from: https://era.library.ualberta.ca/files/crr171x26n.

Council of Science Editors:

Sepehri Rad H. Analyzing Controversy in Wikipedia. [Doctoral Dissertation]. University of Alberta; 2015. Available from: https://era.library.ualberta.ca/files/crr171x26n


University of Adelaide

16. Yang, Ruiting. Signal processing for a brain computer interface.

Degree: 2010, University of Adelaide

 Brain computer interface (BCI) systems measure brain signal and translate it into control commands in an attempt to mimic specific human thinking activities. In recent… (more)

Subjects/Keywords: Brain computer interface; BCI; EEG; Classifier

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APA (6th Edition):

Yang, R. (2010). Signal processing for a brain computer interface. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/60004

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, Ruiting. “Signal processing for a brain computer interface.” 2010. Thesis, University of Adelaide. Accessed July 20, 2018. http://hdl.handle.net/2440/60004.

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

MLA Handbook (7th Edition):

Yang, Ruiting. “Signal processing for a brain computer interface.” 2010. Web. 20 Jul 2018.

Vancouver:

Yang R. Signal processing for a brain computer interface. [Internet] [Thesis]. University of Adelaide; 2010. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/2440/60004.

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

Council of Science Editors:

Yang R. Signal processing for a brain computer interface. [Thesis]. University of Adelaide; 2010. Available from: http://hdl.handle.net/2440/60004

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


University of Newcastle

17. Macpherson, Siubhan Ariana. Dry beneficiation in a Reflux Classifier.

Degree: PhD, 2011, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

It is common practice in industry to beneficiate coal (and other minerals) to meet contractual obligations. This beneficiation… (more)

Subjects/Keywords: beneficiation; Reflux Classifier; particle separartion; mining industry

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

APA (6th Edition):

Macpherson, S. A. (2011). Dry beneficiation in a Reflux Classifier. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/808713

Chicago Manual of Style (16th Edition):

Macpherson, Siubhan Ariana. “Dry beneficiation in a Reflux Classifier.” 2011. Doctoral Dissertation, University of Newcastle. Accessed July 20, 2018. http://hdl.handle.net/1959.13/808713.

MLA Handbook (7th Edition):

Macpherson, Siubhan Ariana. “Dry beneficiation in a Reflux Classifier.” 2011. Web. 20 Jul 2018.

Vancouver:

Macpherson SA. Dry beneficiation in a Reflux Classifier. [Internet] [Doctoral dissertation]. University of Newcastle; 2011. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/1959.13/808713.

Council of Science Editors:

Macpherson SA. Dry beneficiation in a Reflux Classifier. [Doctoral Dissertation]. University of Newcastle; 2011. Available from: http://hdl.handle.net/1959.13/808713


University of Newcastle

18. Walton, Kelly Joel. Influence of narrow inclined channels on fne particle separations.

Degree: PhD, 2012, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The Reflux Classifier is an industrial technology that separates particles on the basis of size and / or… (more)

Subjects/Keywords: reflux classifier; inclined channels; particles; fluidization

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APA (6th Edition):

Walton, K. J. (2012). Influence of narrow inclined channels on fne particle separations. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/932170

Chicago Manual of Style (16th Edition):

Walton, Kelly Joel. “Influence of narrow inclined channels on fne particle separations.” 2012. Doctoral Dissertation, University of Newcastle. Accessed July 20, 2018. http://hdl.handle.net/1959.13/932170.

MLA Handbook (7th Edition):

Walton, Kelly Joel. “Influence of narrow inclined channels on fne particle separations.” 2012. Web. 20 Jul 2018.

Vancouver:

Walton KJ. Influence of narrow inclined channels on fne particle separations. [Internet] [Doctoral dissertation]. University of Newcastle; 2012. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/1959.13/932170.

Council of Science Editors:

Walton KJ. Influence of narrow inclined channels on fne particle separations. [Doctoral Dissertation]. University of Newcastle; 2012. Available from: http://hdl.handle.net/1959.13/932170

19. Sandsveden, Daniel. Evaluation of Random Forests for Detection and Localization of Cattle Eyes.

Degree: Faculty of Science & Engineering, 2015, Linköping UniversityLinköping University

  In a time when cattle herds grow continually larger the need for automatic methods to detect diseases is ever increasing. One possible method to… (more)

Subjects/Keywords: Random Forests; HOG; LBP; SVM; Descriptor; Classifier

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APA (6th Edition):

Sandsveden, D. (2015). Evaluation of Random Forests for Detection and Localization of Cattle Eyes. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121540

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):

Sandsveden, Daniel. “Evaluation of Random Forests for Detection and Localization of Cattle Eyes.” 2015. Thesis, Linköping UniversityLinköping University. Accessed July 20, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121540.

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

MLA Handbook (7th Edition):

Sandsveden, Daniel. “Evaluation of Random Forests for Detection and Localization of Cattle Eyes.” 2015. Web. 20 Jul 2018.

Vancouver:

Sandsveden D. Evaluation of Random Forests for Detection and Localization of Cattle Eyes. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2018 Jul 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121540.

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

Council of Science Editors:

Sandsveden D. Evaluation of Random Forests for Detection and Localization of Cattle Eyes. [Thesis]. Linköping UniversityLinköping University; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121540

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

20. Cederblad, Peter. Developing a soprano classifier using FIR-ELM neural network.

Degree: Design and Engineering, 2016, Mälardalen University

  This thesis aims at investigate the feasibility of classifying the soprano singing voice type using a single layer neural network trained with the FIR-ELM… (more)

Subjects/Keywords: FIR-ELM; Audio decomposition; Soprano classifier

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

APA (6th Edition):

Cederblad, P. (2016). Developing a soprano classifier using FIR-ELM neural network. (Thesis). Mälardalen University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33399

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):

Cederblad, Peter. “Developing a soprano classifier using FIR-ELM neural network.” 2016. Thesis, Mälardalen University. Accessed July 20, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33399.

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

MLA Handbook (7th Edition):

Cederblad, Peter. “Developing a soprano classifier using FIR-ELM neural network.” 2016. Web. 20 Jul 2018.

Vancouver:

Cederblad P. Developing a soprano classifier using FIR-ELM neural network. [Internet] [Thesis]. Mälardalen University; 2016. [cited 2018 Jul 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33399.

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

Council of Science Editors:

Cederblad P. Developing a soprano classifier using FIR-ELM neural network. [Thesis]. Mälardalen University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-33399

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


University of Vienna

21. Steindl, Ulrike. Grammatical issues in the Chinese classifier system.

Degree: 2010, University of Vienna

Die Arbeit beschäftigt sich mit dem Phänomenkomplex der Reduplikation von Klassifikatoren im Mandarin-Chinesischen. Sie geht anhand von semantischen und syntaktischen Kriterien davon aus, dass die… (more)

Subjects/Keywords: 17.52 Syntax; Chinesisch / Classifier / Reduplikation / Grammatik / Linguistik; Mandarin / classifier / reduplication / grammar / linguistics

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

APA (6th Edition):

Steindl, U. (2010). Grammatical issues in the Chinese classifier system. (Thesis). University of Vienna. Retrieved from http://othes.univie.ac.at/8242/

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):

Steindl, Ulrike. “Grammatical issues in the Chinese classifier system.” 2010. Thesis, University of Vienna. Accessed July 20, 2018. http://othes.univie.ac.at/8242/.

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

MLA Handbook (7th Edition):

Steindl, Ulrike. “Grammatical issues in the Chinese classifier system.” 2010. Web. 20 Jul 2018.

Vancouver:

Steindl U. Grammatical issues in the Chinese classifier system. [Internet] [Thesis]. University of Vienna; 2010. [cited 2018 Jul 20]. Available from: http://othes.univie.ac.at/8242/.

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

Council of Science Editors:

Steindl U. Grammatical issues in the Chinese classifier system. [Thesis]. University of Vienna; 2010. Available from: http://othes.univie.ac.at/8242/

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


Victoria University of Wellington

22. Alvarez, Isidro M. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.

Degree: 2017, Victoria University of Wellington

 Learning is an important activity through which humanity has incrementally improved accomplishing tasks by adapting knowledge and methods based on the related feedback. Although learning… (more)

Subjects/Keywords: LCS; XCS; Scalability; Code fragments; Learning; Learning Classifier Systems; eXtended Classifier System

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

APA (6th Edition):

Alvarez, I. M. (2017). Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. (Doctoral Dissertation). Victoria University of Wellington. Retrieved from http://hdl.handle.net/10063/6785

Chicago Manual of Style (16th Edition):

Alvarez, Isidro M. “Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.” 2017. Doctoral Dissertation, Victoria University of Wellington. Accessed July 20, 2018. http://hdl.handle.net/10063/6785.

MLA Handbook (7th Edition):

Alvarez, Isidro M. “Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems.” 2017. Web. 20 Jul 2018.

Vancouver:

Alvarez IM. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. [Internet] [Doctoral dissertation]. Victoria University of Wellington; 2017. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/10063/6785.

Council of Science Editors:

Alvarez IM. Developing the Capability to Scale and Reuse Learned Knowledge and Functionality in Learning Classifier Systems. [Doctoral Dissertation]. Victoria University of Wellington; 2017. Available from: http://hdl.handle.net/10063/6785


University of Southern California

23. Mullis, David Stone. Using Landsat and a Bayesian hard classifier to study forest change in the Salmon Creek Watershed area from 1972–2013.

Degree: MS, Geographic Information Science and Technology, 2014, University of Southern California

 The Salmon Creek Watershed in Sonoma County, California, USA, is home to a variety of wildlife, and many of its residents are mindful of their… (more)

Subjects/Keywords: remote sensing; Landsat; GIS; maximum likelihood classifier; Mahalanobis distance classifier; forest change

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APA (6th Edition):

Mullis, D. S. (2014). Using Landsat and a Bayesian hard classifier to study forest change in the Salmon Creek Watershed area from 1972–2013. (Masters Thesis). University of Southern California. Retrieved from http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435661/rec/7751

Chicago Manual of Style (16th Edition):

Mullis, David Stone. “Using Landsat and a Bayesian hard classifier to study forest change in the Salmon Creek Watershed area from 1972–2013.” 2014. Masters Thesis, University of Southern California. Accessed July 20, 2018. http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435661/rec/7751.

MLA Handbook (7th Edition):

Mullis, David Stone. “Using Landsat and a Bayesian hard classifier to study forest change in the Salmon Creek Watershed area from 1972–2013.” 2014. Web. 20 Jul 2018.

Vancouver:

Mullis DS. Using Landsat and a Bayesian hard classifier to study forest change in the Salmon Creek Watershed area from 1972–2013. [Internet] [Masters thesis]. University of Southern California; 2014. [cited 2018 Jul 20]. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435661/rec/7751.

Council of Science Editors:

Mullis DS. Using Landsat and a Bayesian hard classifier to study forest change in the Salmon Creek Watershed area from 1972–2013. [Masters Thesis]. University of Southern California; 2014. Available from: http://digitallibrary.usc.edu/cdm/compoundobject/collection/p15799coll3/id/435661/rec/7751


Kennesaw State University

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

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

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

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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

CHANDRASEKAR, PRIYANGA. “Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing.” 2016. Thesis, Kennesaw State University. Accessed July 20, 2018. https://digitalcommons.kennesaw.edu/cs_etd/7.

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

MLA Handbook (7th Edition):

CHANDRASEKAR, PRIYANGA. “Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing.” 2016. Web. 20 Jul 2018.

Vancouver:

CHANDRASEKAR P. Improving the Prediction Accuracy of Text Data and Attribute Data Mining with Data Preprocessing. [Internet] [Thesis]. Kennesaw State University; 2016. [cited 2018 Jul 20]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/7.

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

Council of Science Editors:

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

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


University of Toronto

25. Piriyawiboon, Nattaya. Classifiers and Determiner-less Languages: The Case of Thai.

Degree: 2010, University of Toronto

This thesis provides a syntactic and semantic analysis of bare arguments and classifiers in Thai as well as accounting for its nominal word order. Adopting… (more)

Subjects/Keywords: Classifier; Determiner; Thai nouns; Thai classifiers; Classifier languages; Syntax of classifiers; Semantics of classifiers; Bare arguments; 0290

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APA (6th Edition):

Piriyawiboon, N. (2010). Classifiers and Determiner-less Languages: The Case of Thai. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/26223

Chicago Manual of Style (16th Edition):

Piriyawiboon, Nattaya. “Classifiers and Determiner-less Languages: The Case of Thai.” 2010. Doctoral Dissertation, University of Toronto. Accessed July 20, 2018. http://hdl.handle.net/1807/26223.

MLA Handbook (7th Edition):

Piriyawiboon, Nattaya. “Classifiers and Determiner-less Languages: The Case of Thai.” 2010. Web. 20 Jul 2018.

Vancouver:

Piriyawiboon N. Classifiers and Determiner-less Languages: The Case of Thai. [Internet] [Doctoral dissertation]. University of Toronto; 2010. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/1807/26223.

Council of Science Editors:

Piriyawiboon N. Classifiers and Determiner-less Languages: The Case of Thai. [Doctoral Dissertation]. University of Toronto; 2010. Available from: http://hdl.handle.net/1807/26223


University of Tasmania

26. Horton, M. Multiple prediction combination and confidence measures for marine object detection.

Degree: 2009, University of Tasmania

 This thesis considers two problems in classification  – a field within artificial intelligence. One is the general problem of classifier learning, for which a meta-classification… (more)

Subjects/Keywords: Computer vision; Object detection; Haar classifier cascades; Machine learning; Classifier learning; Multiple classifiers; Feature subsets; Attribute subsets; Attribute subsetting

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APA (6th Edition):

Horton, M. (2009). Multiple prediction combination and confidence measures for marine object detection. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/8355/4/horton02chapter1.pdf ; https://eprints.utas.edu.au/8355/5/horton01front.pdf ; https://eprints.utas.edu.au/8355/6/horton03chapter2.pdf ; https://eprints.utas.edu.au/8355/7/horton04chapter3.pdf ; https://eprints.utas.edu.au/8355/8/horton05chapter4.pdf ; https://eprints.utas.edu.au/8355/9/horton06chapter5.pdf ; https://eprints.utas.edu.au/8355/10/horton07chapter6.pdf ; https://eprints.utas.edu.au/8355/11/horton08chapter7.pdf ; https://eprints.utas.edu.au/8355/12/horton09chapter8.pdf ; https://eprints.utas.edu.au/8355/13/horton10references.pdf ; https://eprints.utas.edu.au/8355/14/horton11appendix_a.pdf ; https://eprints.utas.edu.au/8355/15/horton12appendix_b.pdf ; https://eprints.utas.edu.au/8355/16/horton13appendix_c.pdf ; https://eprints.utas.edu.au/8355/17/HortonThesis09_ref_app.pdf

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):

Horton, M. “Multiple prediction combination and confidence measures for marine object detection.” 2009. Thesis, University of Tasmania. Accessed July 20, 2018. https://eprints.utas.edu.au/8355/4/horton02chapter1.pdf ; https://eprints.utas.edu.au/8355/5/horton01front.pdf ; https://eprints.utas.edu.au/8355/6/horton03chapter2.pdf ; https://eprints.utas.edu.au/8355/7/horton04chapter3.pdf ; https://eprints.utas.edu.au/8355/8/horton05chapter4.pdf ; https://eprints.utas.edu.au/8355/9/horton06chapter5.pdf ; https://eprints.utas.edu.au/8355/10/horton07chapter6.pdf ; https://eprints.utas.edu.au/8355/11/horton08chapter7.pdf ; https://eprints.utas.edu.au/8355/12/horton09chapter8.pdf ; https://eprints.utas.edu.au/8355/13/horton10references.pdf ; https://eprints.utas.edu.au/8355/14/horton11appendix_a.pdf ; https://eprints.utas.edu.au/8355/15/horton12appendix_b.pdf ; https://eprints.utas.edu.au/8355/16/horton13appendix_c.pdf ; https://eprints.utas.edu.au/8355/17/HortonThesis09_ref_app.pdf.

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

MLA Handbook (7th Edition):

Horton, M. “Multiple prediction combination and confidence measures for marine object detection.” 2009. Web. 20 Jul 2018.

Vancouver:

Horton M. Multiple prediction combination and confidence measures for marine object detection. [Internet] [Thesis]. University of Tasmania; 2009. [cited 2018 Jul 20]. Available from: https://eprints.utas.edu.au/8355/4/horton02chapter1.pdf ; https://eprints.utas.edu.au/8355/5/horton01front.pdf ; https://eprints.utas.edu.au/8355/6/horton03chapter2.pdf ; https://eprints.utas.edu.au/8355/7/horton04chapter3.pdf ; https://eprints.utas.edu.au/8355/8/horton05chapter4.pdf ; https://eprints.utas.edu.au/8355/9/horton06chapter5.pdf ; https://eprints.utas.edu.au/8355/10/horton07chapter6.pdf ; https://eprints.utas.edu.au/8355/11/horton08chapter7.pdf ; https://eprints.utas.edu.au/8355/12/horton09chapter8.pdf ; https://eprints.utas.edu.au/8355/13/horton10references.pdf ; https://eprints.utas.edu.au/8355/14/horton11appendix_a.pdf ; https://eprints.utas.edu.au/8355/15/horton12appendix_b.pdf ; https://eprints.utas.edu.au/8355/16/horton13appendix_c.pdf ; https://eprints.utas.edu.au/8355/17/HortonThesis09_ref_app.pdf.

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

Council of Science Editors:

Horton M. Multiple prediction combination and confidence measures for marine object detection. [Thesis]. University of Tasmania; 2009. Available from: https://eprints.utas.edu.au/8355/4/horton02chapter1.pdf ; https://eprints.utas.edu.au/8355/5/horton01front.pdf ; https://eprints.utas.edu.au/8355/6/horton03chapter2.pdf ; https://eprints.utas.edu.au/8355/7/horton04chapter3.pdf ; https://eprints.utas.edu.au/8355/8/horton05chapter4.pdf ; https://eprints.utas.edu.au/8355/9/horton06chapter5.pdf ; https://eprints.utas.edu.au/8355/10/horton07chapter6.pdf ; https://eprints.utas.edu.au/8355/11/horton08chapter7.pdf ; https://eprints.utas.edu.au/8355/12/horton09chapter8.pdf ; https://eprints.utas.edu.au/8355/13/horton10references.pdf ; https://eprints.utas.edu.au/8355/14/horton11appendix_a.pdf ; https://eprints.utas.edu.au/8355/15/horton12appendix_b.pdf ; https://eprints.utas.edu.au/8355/16/horton13appendix_c.pdf ; https://eprints.utas.edu.au/8355/17/HortonThesis09_ref_app.pdf

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


University of Oxford

27. Tomas, Amber Nede. A dynamic logistic model for combining classifier outputs.

Degree: PhD, 2008, University of Oxford

 Many classification algorithms are designed on the assumption that the population of interest is stationary, i.e. it does not change over time. However, there are… (more)

Subjects/Keywords: 005.3; Pattern recognition (statistics); dynamic classification; multiple classifier systems; online learning

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

APA (6th Edition):

Tomas, A. N. (2008). A dynamic logistic model for combining classifier outputs. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:0a0273fa-9d47-4626-a758-6b5f03722cd0 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497123

Chicago Manual of Style (16th Edition):

Tomas, Amber Nede. “A dynamic logistic model for combining classifier outputs.” 2008. Doctoral Dissertation, University of Oxford. Accessed July 20, 2018. http://ora.ox.ac.uk/objects/uuid:0a0273fa-9d47-4626-a758-6b5f03722cd0 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497123.

MLA Handbook (7th Edition):

Tomas, Amber Nede. “A dynamic logistic model for combining classifier outputs.” 2008. Web. 20 Jul 2018.

Vancouver:

Tomas AN. A dynamic logistic model for combining classifier outputs. [Internet] [Doctoral dissertation]. University of Oxford; 2008. [cited 2018 Jul 20]. Available from: http://ora.ox.ac.uk/objects/uuid:0a0273fa-9d47-4626-a758-6b5f03722cd0 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497123.

Council of Science Editors:

Tomas AN. A dynamic logistic model for combining classifier outputs. [Doctoral Dissertation]. University of Oxford; 2008. Available from: http://ora.ox.ac.uk/objects/uuid:0a0273fa-9d47-4626-a758-6b5f03722cd0 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.497123


Washington University in St. Louis

28. Schiller, Todd. Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk.

Degree: MA, Computer Science and Engineering, 2009, Washington University in St. Louis

 Patients undergoing radiation therapy can develop a potentially fatal inflammation of the lungs known as radiation pneumonitis: RP). In practice, modeling RP factors is difficult… (more)

Subjects/Keywords: support vector machine; radiation pneumonitis; feature selection; ensemble classifier; data imbalance

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

APA (6th Edition):

Schiller, T. (2009). Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/etd/932

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):

Schiller, Todd. “Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk.” 2009. Thesis, Washington University in St. Louis. Accessed July 20, 2018. https://openscholarship.wustl.edu/etd/932.

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

MLA Handbook (7th Edition):

Schiller, Todd. “Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk.” 2009. Web. 20 Jul 2018.

Vancouver:

Schiller T. Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk. [Internet] [Thesis]. Washington University in St. Louis; 2009. [cited 2018 Jul 20]. Available from: https://openscholarship.wustl.edu/etd/932.

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

Council of Science Editors:

Schiller T. Ensemble Support Vector Machine Models of Radiation-Induced Lung Injury Risk. [Thesis]. Washington University in St. Louis; 2009. Available from: https://openscholarship.wustl.edu/etd/932

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


Brno University of Technology

29. Krontorád, Jan. Implementace algoritmu SVM v FPGA .

Degree: 2009, Brno University of Technology

 Tato diplomová práce se zabývá algoritmy pro trénování klasifikátoru SVM a jejich realizací v hradlovém poli FPGA. Jsou zde uvedeny základní informace o klasifikátoru, jeho trénování… (more)

Subjects/Keywords: Klasifikátor; učení; SVM; FPGA; Classifier; learning; SVM; FPGA

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

APA (6th Edition):

Krontorád, J. (2009). Implementace algoritmu SVM v FPGA . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53916

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):

Krontorád, Jan. “Implementace algoritmu SVM v FPGA .” 2009. Thesis, Brno University of Technology. Accessed July 20, 2018. http://hdl.handle.net/11012/53916.

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

MLA Handbook (7th Edition):

Krontorád, Jan. “Implementace algoritmu SVM v FPGA .” 2009. Web. 20 Jul 2018.

Vancouver:

Krontorád J. Implementace algoritmu SVM v FPGA . [Internet] [Thesis]. Brno University of Technology; 2009. [cited 2018 Jul 20]. Available from: http://hdl.handle.net/11012/53916.

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

Council of Science Editors:

Krontorád J. Implementace algoritmu SVM v FPGA . [Thesis]. Brno University of Technology; 2009. Available from: http://hdl.handle.net/11012/53916

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


University of Alberta

30. Tavakoli, Farzan. Aerodynamic Aerosol Classifier.

Degree: PhD, Department of Mechanical Engineering, 2013, University of Alberta

 A new aerosol particle classifier, the Aerodynamic Aerosol Classifier (AAC), is presented with some of its applications. The instrument uses a centrifugal force and sheath… (more)

Subjects/Keywords: nanoparticles; Relaxation Time; microchannel; AAC; aerodynamic aerosol classifier

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

APA (6th Edition):

Tavakoli, F. (2013). Aerodynamic Aerosol Classifier. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/b2773w02m

Chicago Manual of Style (16th Edition):

Tavakoli, Farzan. “Aerodynamic Aerosol Classifier.” 2013. Doctoral Dissertation, University of Alberta. Accessed July 20, 2018. https://era.library.ualberta.ca/files/b2773w02m.

MLA Handbook (7th Edition):

Tavakoli, Farzan. “Aerodynamic Aerosol Classifier.” 2013. Web. 20 Jul 2018.

Vancouver:

Tavakoli F. Aerodynamic Aerosol Classifier. [Internet] [Doctoral dissertation]. University of Alberta; 2013. [cited 2018 Jul 20]. Available from: https://era.library.ualberta.ca/files/b2773w02m.

Council of Science Editors:

Tavakoli F. Aerodynamic Aerosol Classifier. [Doctoral Dissertation]. University of Alberta; 2013. Available from: https://era.library.ualberta.ca/files/b2773w02m

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