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You searched for subject:(Support vector machine). Showing records 1 – 30 of 731 total matches.

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1. Sangeetha, R. A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;.

Degree: Computer Science, 2015, Avinashilingam Deemed University For Women

With the massive amount of data being generated in everyday life it is increasingly important to develop a powerful framework for analysis interpretation and extraction… (more)

Subjects/Keywords: Support vector machine; kernel function; Hilbert space

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

APA (6th Edition):

Sangeetha, R. (2015). A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;. (Thesis). Avinashilingam Deemed University For Women. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/36872

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):

Sangeetha, R. “A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;.” 2015. Thesis, Avinashilingam Deemed University For Women. Accessed January 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/36872.

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

MLA Handbook (7th Edition):

Sangeetha, R. “A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;.” 2015. Web. 19 Jan 2020.

Vancouver:

Sangeetha R. A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;. [Internet] [Thesis]. Avinashilingam Deemed University For Women; 2015. [cited 2020 Jan 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36872.

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

Council of Science Editors:

Sangeetha R. A Framework for Admissible Kernel Function in Support Vector Machines using Lévy Distribution;. [Thesis]. Avinashilingam Deemed University For Women; 2015. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/36872

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


University of New Mexico

2. Anderson, Blake. Integrating Multiple Data Views for Improved Malware Analysis.

Degree: Department of Computer Science, 2014, University of New Mexico

 Malicious software (malware) has become a prominent fixture in computing. There have been many methods developed over the years to combat the spread of malware,… (more)

Subjects/Keywords: Malware; Support Vector Machine; Classification; Clustering; Phylogeny

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APA (6th Edition):

Anderson, B. (2014). Integrating Multiple Data Views for Improved Malware Analysis. (Doctoral Dissertation). University of New Mexico. Retrieved from http://hdl.handle.net/1928/24289

Chicago Manual of Style (16th Edition):

Anderson, Blake. “Integrating Multiple Data Views for Improved Malware Analysis.” 2014. Doctoral Dissertation, University of New Mexico. Accessed January 19, 2020. http://hdl.handle.net/1928/24289.

MLA Handbook (7th Edition):

Anderson, Blake. “Integrating Multiple Data Views for Improved Malware Analysis.” 2014. Web. 19 Jan 2020.

Vancouver:

Anderson B. Integrating Multiple Data Views for Improved Malware Analysis. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1928/24289.

Council of Science Editors:

Anderson B. Integrating Multiple Data Views for Improved Malware Analysis. [Doctoral Dissertation]. University of New Mexico; 2014. Available from: http://hdl.handle.net/1928/24289


Rice University

3. Wilhelm, Keith. Classification Techniques for Undersampled Electromyography and Electrocardiography.

Degree: MS, Engineering, 2012, Rice University

 Electrophysiological signals including electrocardiography (ECG) and electromyography (EMG) are widely used in clinical environments for monitoring of patients and for diagnosis of conditions including cardiac… (more)

Subjects/Keywords: Electromyography; Electrocardiography; Support vector machine; Compressive sensing

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APA (6th Edition):

Wilhelm, K. (2012). Classification Techniques for Undersampled Electromyography and Electrocardiography. (Masters Thesis). Rice University. Retrieved from http://hdl.handle.net/1911/77325

Chicago Manual of Style (16th Edition):

Wilhelm, Keith. “Classification Techniques for Undersampled Electromyography and Electrocardiography.” 2012. Masters Thesis, Rice University. Accessed January 19, 2020. http://hdl.handle.net/1911/77325.

MLA Handbook (7th Edition):

Wilhelm, Keith. “Classification Techniques for Undersampled Electromyography and Electrocardiography.” 2012. Web. 19 Jan 2020.

Vancouver:

Wilhelm K. Classification Techniques for Undersampled Electromyography and Electrocardiography. [Internet] [Masters thesis]. Rice University; 2012. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1911/77325.

Council of Science Editors:

Wilhelm K. Classification Techniques for Undersampled Electromyography and Electrocardiography. [Masters Thesis]. Rice University; 2012. Available from: http://hdl.handle.net/1911/77325


University of Nairobi

4. Wagacha, Peter W. Support vector machines: A Critical empirical evaluation .

Degree: 2003, University of Nairobi

 The main focus of this thesis is Support Vector Xlachines (8\-:'1s). In particular, we first investigate empirically whether they live up to the claims made,… (more)

Subjects/Keywords: Support Vector Machine

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APA (6th Edition):

Wagacha, P. W. (2003). Support vector machines: A Critical empirical evaluation . (Thesis). University of Nairobi. Retrieved from http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/24232

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):

Wagacha, Peter W. “Support vector machines: A Critical empirical evaluation .” 2003. Thesis, University of Nairobi. Accessed January 19, 2020. http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/24232.

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

MLA Handbook (7th Edition):

Wagacha, Peter W. “Support vector machines: A Critical empirical evaluation .” 2003. Web. 19 Jan 2020.

Vancouver:

Wagacha PW. Support vector machines: A Critical empirical evaluation . [Internet] [Thesis]. University of Nairobi; 2003. [cited 2020 Jan 19]. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/24232.

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

Council of Science Editors:

Wagacha PW. Support vector machines: A Critical empirical evaluation . [Thesis]. University of Nairobi; 2003. Available from: http://erepository.uonbi.ac.ke:8080/xmlui/handle/123456789/24232

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


University of Technology, Sydney

5. Nuryani, N. Electrocardiogram and hybrid support vector algorithms for detection of hypoglycaemia in patients with type 1 diabetes.

Degree: 2013, University of Technology, Sydney

 Hypoglycaemia is the most acute and common complication of type 1 diabetes. Physiological changes occur when blood glucose concentration falls to a certain level. A… (more)

Subjects/Keywords: Diabetes.; Hypoglycemia.; Electrocardiogram.; Support vector machine.; Diagnosis.

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APA (6th Edition):

Nuryani, N. (2013). Electrocardiogram and hybrid support vector algorithms for detection of hypoglycaemia in patients with type 1 diabetes. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/21902

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):

Nuryani, N. “Electrocardiogram and hybrid support vector algorithms for detection of hypoglycaemia in patients with type 1 diabetes.” 2013. Thesis, University of Technology, Sydney. Accessed January 19, 2020. http://hdl.handle.net/10453/21902.

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

MLA Handbook (7th Edition):

Nuryani, N. “Electrocardiogram and hybrid support vector algorithms for detection of hypoglycaemia in patients with type 1 diabetes.” 2013. Web. 19 Jan 2020.

Vancouver:

Nuryani N. Electrocardiogram and hybrid support vector algorithms for detection of hypoglycaemia in patients with type 1 diabetes. [Internet] [Thesis]. University of Technology, Sydney; 2013. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10453/21902.

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

Council of Science Editors:

Nuryani N. Electrocardiogram and hybrid support vector algorithms for detection of hypoglycaemia in patients with type 1 diabetes. [Thesis]. University of Technology, Sydney; 2013. Available from: http://hdl.handle.net/10453/21902

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


Louisiana State University

6. Lin, Bruce Yu-Sun. Augmented breast tumor classification by perfusion analysis.

Degree: PhD, Computer Sciences, 2010, Louisiana State University

 Magnetic resonance and computed tomography imaging aid in the diagnosis and analysis of pathologic conditions. Blood flow, or perfusion, through a region of tissue can… (more)

Subjects/Keywords: MRI; support vector machine; segmentation; signal analysis

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APA (6th Edition):

Lin, B. Y. (2010). Augmented breast tumor classification by perfusion analysis. (Doctoral Dissertation). Louisiana State University. Retrieved from etd-08252010-154811 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2144

Chicago Manual of Style (16th Edition):

Lin, Bruce Yu-Sun. “Augmented breast tumor classification by perfusion analysis.” 2010. Doctoral Dissertation, Louisiana State University. Accessed January 19, 2020. etd-08252010-154811 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2144.

MLA Handbook (7th Edition):

Lin, Bruce Yu-Sun. “Augmented breast tumor classification by perfusion analysis.” 2010. Web. 19 Jan 2020.

Vancouver:

Lin BY. Augmented breast tumor classification by perfusion analysis. [Internet] [Doctoral dissertation]. Louisiana State University; 2010. [cited 2020 Jan 19]. Available from: etd-08252010-154811 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2144.

Council of Science Editors:

Lin BY. Augmented breast tumor classification by perfusion analysis. [Doctoral Dissertation]. Louisiana State University; 2010. Available from: etd-08252010-154811 ; https://digitalcommons.lsu.edu/gradschool_dissertations/2144

7. 中田, 貴之. 対象の値動きの方向性に着目した経済時系列予測へのサポートベクターマシンの応用に関する研究 : Research regarding the Application of Support Vector Machines to Predict the Direction of Price Changes in Economic Time Series.

Degree: 修士(情報理工学), 2017, The University of Tokyo / 東京大学

 Today, time series data are predicted using various methods. The main technique currently used to identify a time series has been adjusting the coefficient parameter… (more)

Subjects/Keywords: Support Vector Machine

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APA (6th Edition):

中田, . (2017). 対象の値動きの方向性に着目した経済時系列予測へのサポートベクターマシンの応用に関する研究 : Research regarding the Application of Support Vector Machines to Predict the Direction of Price Changes in Economic Time Series. (Thesis). The University of Tokyo / 東京大学. Retrieved from http://hdl.handle.net/2261/28804

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):

中田, 貴之. “対象の値動きの方向性に着目した経済時系列予測へのサポートベクターマシンの応用に関する研究 : Research regarding the Application of Support Vector Machines to Predict the Direction of Price Changes in Economic Time Series.” 2017. Thesis, The University of Tokyo / 東京大学. Accessed January 19, 2020. http://hdl.handle.net/2261/28804.

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

MLA Handbook (7th Edition):

中田, 貴之. “対象の値動きの方向性に着目した経済時系列予測へのサポートベクターマシンの応用に関する研究 : Research regarding the Application of Support Vector Machines to Predict the Direction of Price Changes in Economic Time Series.” 2017. Web. 19 Jan 2020.

Vancouver:

中田 . 対象の値動きの方向性に着目した経済時系列予測へのサポートベクターマシンの応用に関する研究 : Research regarding the Application of Support Vector Machines to Predict the Direction of Price Changes in Economic Time Series. [Internet] [Thesis]. The University of Tokyo / 東京大学; 2017. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/2261/28804.

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

Council of Science Editors:

中田 . 対象の値動きの方向性に着目した経済時系列予測へのサポートベクターマシンの応用に関する研究 : Research regarding the Application of Support Vector Machines to Predict the Direction of Price Changes in Economic Time Series. [Thesis]. The University of Tokyo / 東京大学; 2017. Available from: http://hdl.handle.net/2261/28804

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


University College Cork

8. Belur Nagaraj, Sunil. Neonatal EEG classification using atomic decomposition.

Degree: 2015, University College Cork

 The electroencephalogram (EEG) is an important noninvasive tool used in the neonatal intensive care unit (NICU) for the neurologic evaluation of the sick newborn infant.… (more)

Subjects/Keywords: Neonatal electroencephalogram; Atomic decomposition; Support vector machine

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

APA (6th Edition):

Belur Nagaraj, S. (2015). Neonatal EEG classification using atomic decomposition. (Thesis). University College Cork. Retrieved from http://hdl.handle.net/10468/2117

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):

Belur Nagaraj, Sunil. “Neonatal EEG classification using atomic decomposition.” 2015. Thesis, University College Cork. Accessed January 19, 2020. http://hdl.handle.net/10468/2117.

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

MLA Handbook (7th Edition):

Belur Nagaraj, Sunil. “Neonatal EEG classification using atomic decomposition.” 2015. Web. 19 Jan 2020.

Vancouver:

Belur Nagaraj S. Neonatal EEG classification using atomic decomposition. [Internet] [Thesis]. University College Cork; 2015. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10468/2117.

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

Council of Science Editors:

Belur Nagaraj S. Neonatal EEG classification using atomic decomposition. [Thesis]. University College Cork; 2015. Available from: http://hdl.handle.net/10468/2117

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


Anna University

9. Sandra Johnson. Machine learning based approaches to predict and optimize hot methods;.

Degree: 2013, Anna University

Just-in-time compilers in a virtual machine environment generate machine code for a method in a program, when the method is first called for execution, incurring… (more)

Subjects/Keywords: Machine learning algorithm; support vector machine; Low Level Virtual Machine

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APA (6th Edition):

Johnson, S. (2013). Machine learning based approaches to predict and optimize hot methods;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/13447

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):

Johnson, Sandra. “Machine learning based approaches to predict and optimize hot methods;.” 2013. Thesis, Anna University. Accessed January 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/13447.

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

MLA Handbook (7th Edition):

Johnson, Sandra. “Machine learning based approaches to predict and optimize hot methods;.” 2013. Web. 19 Jan 2020.

Vancouver:

Johnson S. Machine learning based approaches to predict and optimize hot methods;. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Jan 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13447.

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

Council of Science Editors:

Johnson S. Machine learning based approaches to predict and optimize hot methods;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/13447

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


Indian Institute of Science

10. Asharaf, S. Efficient Kernel Methods For Large Scale Classification.

Degree: 2007, Indian Institute of Science

 Classification algorithms have been widely used in many application domains. Most of these domains deal with massive collection of data and hence demand classification algorithms… (more)

Subjects/Keywords: Machine Learning; Automatic Classification; Kernel Method; Classification Algorithms; Support Vector Machine (SVM); Core Vector Machine (CVM); Rough Support Vector Clustering (RSVC); Multiclass Core Vector Machine (MCVM); Computer Science

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APA (6th Edition):

Asharaf, S. (2007). Efficient Kernel Methods For Large Scale Classification. (Thesis). Indian Institute of Science. Retrieved from http://hdl.handle.net/2005/1076

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):

Asharaf, S. “Efficient Kernel Methods For Large Scale Classification.” 2007. Thesis, Indian Institute of Science. Accessed January 19, 2020. http://hdl.handle.net/2005/1076.

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

MLA Handbook (7th Edition):

Asharaf, S. “Efficient Kernel Methods For Large Scale Classification.” 2007. Web. 19 Jan 2020.

Vancouver:

Asharaf S. Efficient Kernel Methods For Large Scale Classification. [Internet] [Thesis]. Indian Institute of Science; 2007. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/2005/1076.

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

Council of Science Editors:

Asharaf S. Efficient Kernel Methods For Large Scale Classification. [Thesis]. Indian Institute of Science; 2007. Available from: http://hdl.handle.net/2005/1076

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


University of Alberta

11. Bostan, Babak. Predicting homologous signaling pathways using machine learning.

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

 Understanding biochemical reactions inside cells of individual organisms is a key factor for improving our biological knowledge. Signaling pathways provide a road map for a… (more)

Subjects/Keywords: signaling pathway; machine learning; prediction; support vector machine

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

APA (6th Edition):

Bostan, B. (2009). Predicting homologous signaling pathways using machine learning. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/765372669

Chicago Manual of Style (16th Edition):

Bostan, Babak. “Predicting homologous signaling pathways using machine learning.” 2009. Masters Thesis, University of Alberta. Accessed January 19, 2020. https://era.library.ualberta.ca/files/765372669.

MLA Handbook (7th Edition):

Bostan, Babak. “Predicting homologous signaling pathways using machine learning.” 2009. Web. 19 Jan 2020.

Vancouver:

Bostan B. Predicting homologous signaling pathways using machine learning. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2020 Jan 19]. Available from: https://era.library.ualberta.ca/files/765372669.

Council of Science Editors:

Bostan B. Predicting homologous signaling pathways using machine learning. [Masters Thesis]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/765372669


NSYSU

12. Chang, Chia-Hung. Accuracy Improvement for RNA Secondary Structure Prediction with SVM.

Degree: Master, Computer Science and Engineering, 2008, NSYSU

 Ribonucleic acid (RNA) sometimes occurs in a complex structure called pseudoknots. Prediction of RNA secondary structures has drawn much attention from both biologists and computer… (more)

Subjects/Keywords: RNA; secondary structure; support vector machine; machine learning; classification

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

APA (6th Edition):

Chang, C. (2008). Accuracy Improvement for RNA Secondary Structure Prediction with SVM. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730108-234319

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):

Chang, Chia-Hung. “Accuracy Improvement for RNA Secondary Structure Prediction with SVM.” 2008. Thesis, NSYSU. Accessed January 19, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730108-234319.

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

MLA Handbook (7th Edition):

Chang, Chia-Hung. “Accuracy Improvement for RNA Secondary Structure Prediction with SVM.” 2008. Web. 19 Jan 2020.

Vancouver:

Chang C. Accuracy Improvement for RNA Secondary Structure Prediction with SVM. [Internet] [Thesis]. NSYSU; 2008. [cited 2020 Jan 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730108-234319.

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

Council of Science Editors:

Chang C. Accuracy Improvement for RNA Secondary Structure Prediction with SVM. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0730108-234319

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


Universidade Nova

13. Camelo, Pedro Miguel Bairrão de Seixas. Botnet cluster identification.

Degree: 2015, Universidade Nova

 Botnets are a group of computers infected with a specific sub-set of a malware family and controlled by one individual, called botmaster. This kind of… (more)

Subjects/Keywords: Cibersecurity; Botnet; Malware; Machine learning; Clustering; Support vector machine

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APA (6th Edition):

Camelo, P. M. B. d. S. (2015). Botnet cluster identification. (Thesis). Universidade Nova. Retrieved from http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14181

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):

Camelo, Pedro Miguel Bairrão de Seixas. “Botnet cluster identification.” 2015. Thesis, Universidade Nova. Accessed January 19, 2020. http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14181.

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

MLA Handbook (7th Edition):

Camelo, Pedro Miguel Bairrão de Seixas. “Botnet cluster identification.” 2015. Web. 19 Jan 2020.

Vancouver:

Camelo PMBdS. Botnet cluster identification. [Internet] [Thesis]. Universidade Nova; 2015. [cited 2020 Jan 19]. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14181.

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

Council of Science Editors:

Camelo PMBdS. Botnet cluster identification. [Thesis]. Universidade Nova; 2015. Available from: http://www.rcaap.pt/detail.jsp?id=oai:run.unl.pt:10362/14181

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


Virginia Tech

14. McCurry, Katherine Lorraine. The Development and Validation of a Neural Model of Affective States.

Degree: MS, Psychology, 2015, Virginia Tech

 Emotion dysregulation plays a central role in psychopathology (B. Bradley et al., 2011) and has been linked to aberrant activation of neural circuitry involved in… (more)

Subjects/Keywords: machine learning; neurofeedback; fMRI; emotion; support vector machine

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APA (6th Edition):

McCurry, K. L. (2015). The Development and Validation of a Neural Model of Affective States. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78166

Chicago Manual of Style (16th Edition):

McCurry, Katherine Lorraine. “The Development and Validation of a Neural Model of Affective States.” 2015. Masters Thesis, Virginia Tech. Accessed January 19, 2020. http://hdl.handle.net/10919/78166.

MLA Handbook (7th Edition):

McCurry, Katherine Lorraine. “The Development and Validation of a Neural Model of Affective States.” 2015. Web. 19 Jan 2020.

Vancouver:

McCurry KL. The Development and Validation of a Neural Model of Affective States. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10919/78166.

Council of Science Editors:

McCurry KL. The Development and Validation of a Neural Model of Affective States. [Masters Thesis]. Virginia Tech; 2015. Available from: http://hdl.handle.net/10919/78166


University of South Carolina

15. Kirmani, Fawad. Exploring Machine Learning Techniques To Improve Peptide Identification.

Degree: Degree ofMS, Computer Science and Engineering, 2018, University of South Carolina

  The goal of this work is to improve proteotypic peptide prediction with lower pro- cessing time and better efficiency. Proteotypic peptides are the peptides… (more)

Subjects/Keywords: Computer Engineering; machine learning techniques; Proteotypic peptides; support vector machine (SVM)

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

APA (6th Edition):

Kirmani, F. (2018). Exploring Machine Learning Techniques To Improve Peptide Identification. (Thesis). University of South Carolina. Retrieved from https://scholarcommons.sc.edu/etd/5001

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):

Kirmani, Fawad. “Exploring Machine Learning Techniques To Improve Peptide Identification.” 2018. Thesis, University of South Carolina. Accessed January 19, 2020. https://scholarcommons.sc.edu/etd/5001.

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

MLA Handbook (7th Edition):

Kirmani, Fawad. “Exploring Machine Learning Techniques To Improve Peptide Identification.” 2018. Web. 19 Jan 2020.

Vancouver:

Kirmani F. Exploring Machine Learning Techniques To Improve Peptide Identification. [Internet] [Thesis]. University of South Carolina; 2018. [cited 2020 Jan 19]. Available from: https://scholarcommons.sc.edu/etd/5001.

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

Council of Science Editors:

Kirmani F. Exploring Machine Learning Techniques To Improve Peptide Identification. [Thesis]. University of South Carolina; 2018. Available from: https://scholarcommons.sc.edu/etd/5001

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


University of Edinburgh

16. Zarogianni, Eleni. Machine learning and brain imaging in psychosis.

Degree: PhD, 2016, University of Edinburgh

 Over the past years early detection and intervention in schizophrenia have become a major objective in psychiatry. Early intervention strategies are intended to identify and… (more)

Subjects/Keywords: 616.89; machine learning; support vector machine; SVM; MRI; schizophrenia

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APA (6th Edition):

Zarogianni, E. (2016). Machine learning and brain imaging in psychosis. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/22814

Chicago Manual of Style (16th Edition):

Zarogianni, Eleni. “Machine learning and brain imaging in psychosis.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed January 19, 2020. http://hdl.handle.net/1842/22814.

MLA Handbook (7th Edition):

Zarogianni, Eleni. “Machine learning and brain imaging in psychosis.” 2016. Web. 19 Jan 2020.

Vancouver:

Zarogianni E. Machine learning and brain imaging in psychosis. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1842/22814.

Council of Science Editors:

Zarogianni E. Machine learning and brain imaging in psychosis. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/22814


Tampere University

17. Kallio, Julius. Support Vector Machine and Deep Learning in Medical Applications .

Degree: 2017, Tampere University

 Deep learning is a new field in machine learning that focuses mainly on deep neural networks. In this thesis, we focus on machine learning and… (more)

Subjects/Keywords: deep learning; machine learning; neural networks; support vector machine

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

APA (6th Edition):

Kallio, J. (2017). Support Vector Machine and Deep Learning in Medical Applications . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/101911

Chicago Manual of Style (16th Edition):

Kallio, Julius. “Support Vector Machine and Deep Learning in Medical Applications .” 2017. Masters Thesis, Tampere University. Accessed January 19, 2020. https://trepo.tuni.fi/handle/10024/101911.

MLA Handbook (7th Edition):

Kallio, Julius. “Support Vector Machine and Deep Learning in Medical Applications .” 2017. Web. 19 Jan 2020.

Vancouver:

Kallio J. Support Vector Machine and Deep Learning in Medical Applications . [Internet] [Masters thesis]. Tampere University; 2017. [cited 2020 Jan 19]. Available from: https://trepo.tuni.fi/handle/10024/101911.

Council of Science Editors:

Kallio J. Support Vector Machine and Deep Learning in Medical Applications . [Masters Thesis]. Tampere University; 2017. Available from: https://trepo.tuni.fi/handle/10024/101911


Rochester Institute of Technology

18. Karvekar, Swapnali Babasaheb. Smartphone-based Human Fatigue Detection in an Industrial Environment Using Gait Analysis.

Degree: MS, Industrial and Systems Engineering, 2019, Rochester Institute of Technology

  Human fatigue due to repetitive and physically challenging jobs may result in poor performance and a Work-related Musculoskeletal Disorder (WMSD). Thus, the importance of… (more)

Subjects/Keywords: Human muscle fatigue; Machine learning; Smartphone; Support vector machine; Wearable technology

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

APA (6th Edition):

Karvekar, S. B. (2019). Smartphone-based Human Fatigue Detection in an Industrial Environment Using Gait Analysis. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/10275

Chicago Manual of Style (16th Edition):

Karvekar, Swapnali Babasaheb. “Smartphone-based Human Fatigue Detection in an Industrial Environment Using Gait Analysis.” 2019. Masters Thesis, Rochester Institute of Technology. Accessed January 19, 2020. https://scholarworks.rit.edu/theses/10275.

MLA Handbook (7th Edition):

Karvekar, Swapnali Babasaheb. “Smartphone-based Human Fatigue Detection in an Industrial Environment Using Gait Analysis.” 2019. Web. 19 Jan 2020.

Vancouver:

Karvekar SB. Smartphone-based Human Fatigue Detection in an Industrial Environment Using Gait Analysis. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2020 Jan 19]. Available from: https://scholarworks.rit.edu/theses/10275.

Council of Science Editors:

Karvekar SB. Smartphone-based Human Fatigue Detection in an Industrial Environment Using Gait Analysis. [Masters Thesis]. Rochester Institute of Technology; 2019. Available from: https://scholarworks.rit.edu/theses/10275


University of Otago

19. Woods, Alan Michael. Differentiation of Parkinson’s Tremor from Essential Tremor using Action Tremor Analysis .

Degree: 2012, University of Otago

 Similarities in the physiological and psychological symptoms of Parkinson’s disease (PD) and Essential Tremor (ET) make accurate diagnosis of PD and ET conditions difficult. It… (more)

Subjects/Keywords: Parkinson Disease; Essential Tremor; Wavelet; Support Vector Machine; Attention; Distraction; Parkinson Disease; Essential Tremor; Wavelet; Support Vector Machine; Attention; Distraction

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

APA (6th Edition):

Woods, A. M. (2012). Differentiation of Parkinson’s Tremor from Essential Tremor using Action Tremor Analysis . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/2513

Chicago Manual of Style (16th Edition):

Woods, Alan Michael. “Differentiation of Parkinson’s Tremor from Essential Tremor using Action Tremor Analysis .” 2012. Masters Thesis, University of Otago. Accessed January 19, 2020. http://hdl.handle.net/10523/2513.

MLA Handbook (7th Edition):

Woods, Alan Michael. “Differentiation of Parkinson’s Tremor from Essential Tremor using Action Tremor Analysis .” 2012. Web. 19 Jan 2020.

Vancouver:

Woods AM. Differentiation of Parkinson’s Tremor from Essential Tremor using Action Tremor Analysis . [Internet] [Masters thesis]. University of Otago; 2012. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/10523/2513.

Council of Science Editors:

Woods AM. Differentiation of Parkinson’s Tremor from Essential Tremor using Action Tremor Analysis . [Masters Thesis]. University of Otago; 2012. Available from: http://hdl.handle.net/10523/2513


Brno University of Technology

20. Hrabinová, Barbora. Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže .

Degree: 2016, Brno University of Technology

 Bakalářská práce je zaměřena na předpovědi průměrných měsíčních průtoků za účelem řízení vodní nádrže Vír I. Předpovědi jsou provedeny pomocí metody Support vector machine v… (more)

Subjects/Keywords: předpověď; průměrné měsíční průtoky; Support vector machine; simulace; vodní nádrž; Prediction; Mean Monthly Flow; Support Vector Machine; Simulation; Reservoir

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

APA (6th Edition):

Hrabinová, B. (2016). Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/62666

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):

Hrabinová, Barbora. “Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže .” 2016. Thesis, Brno University of Technology. Accessed January 19, 2020. http://hdl.handle.net/11012/62666.

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

MLA Handbook (7th Edition):

Hrabinová, Barbora. “Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže .” 2016. Web. 19 Jan 2020.

Vancouver:

Hrabinová B. Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže . [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/11012/62666.

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

Council of Science Editors:

Hrabinová B. Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže . [Thesis]. Brno University of Technology; 2016. Available from: http://hdl.handle.net/11012/62666

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


Brno University of Technology

21. Hrabinová, Barbora. Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže .

Degree: 2018, Brno University of Technology

 Diplomová práce je zaměřena na předpovědi průměrných měsíčních přítoků za účelem ověření kvality řízení zásobní funkce při uvažování různé polohy fiktivních nádrží v povodí. Jedna… (more)

Subjects/Keywords: předpověď; průměrné měsíční průtoky; Support vector machine; simulace; vodní nádrž; Prediction; Mean Monthly Flow; Support Vector Machine; Simulation; Reservoir

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

APA (6th Edition):

Hrabinová, B. (2018). Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/70652

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):

Hrabinová, Barbora. “Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže .” 2018. Thesis, Brno University of Technology. Accessed January 19, 2020. http://hdl.handle.net/11012/70652.

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

MLA Handbook (7th Edition):

Hrabinová, Barbora. “Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže .” 2018. Web. 19 Jan 2020.

Vancouver:

Hrabinová B. Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/11012/70652.

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

Council of Science Editors:

Hrabinová B. Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/70652

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


Humboldt University of Berlin

22. Fu, Han. Credit risk evaluating using SVM.

Degree: 2016, Humboldt University of Berlin

 A credit risk is the risk of default on a debt that could occur when a debtor could not mange to make required payments. This… (more)

Subjects/Keywords: Statistik; Wirtschaft; Credit Risk; Support Vector Machine; Support Vector Machine; Kredit Risiko; DA; R; DA; R; ddc:330

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APA (6th Edition):

Fu, H. (2016). Credit risk evaluating using SVM. (Masters Thesis). Humboldt University of Berlin. Retrieved from http://edoc.hu-berlin.de/docviews/abstract.php?id=42924 ; http://edoc.hu-berlin.de/master/fu-han-2016-10-07/PDF/fu.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100240989

Chicago Manual of Style (16th Edition):

Fu, Han. “Credit risk evaluating using SVM.” 2016. Masters Thesis, Humboldt University of Berlin. Accessed January 19, 2020. http://edoc.hu-berlin.de/docviews/abstract.php?id=42924 ; http://edoc.hu-berlin.de/master/fu-han-2016-10-07/PDF/fu.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100240989.

MLA Handbook (7th Edition):

Fu, Han. “Credit risk evaluating using SVM.” 2016. Web. 19 Jan 2020.

Vancouver:

Fu H. Credit risk evaluating using SVM. [Internet] [Masters thesis]. Humboldt University of Berlin; 2016. [cited 2020 Jan 19]. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=42924 ; http://edoc.hu-berlin.de/master/fu-han-2016-10-07/PDF/fu.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100240989.

Council of Science Editors:

Fu H. Credit risk evaluating using SVM. [Masters Thesis]. Humboldt University of Berlin; 2016. Available from: http://edoc.hu-berlin.de/docviews/abstract.php?id=42924 ; http://edoc.hu-berlin.de/master/fu-han-2016-10-07/PDF/fu.pdf ; http://www.nbn-resolving.de/urn:nbn:de:kobv:11-100240989


NSYSU

23. Su, Wen-pin. Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition.

Degree: Master, Electrical Engineering, 2008, NSYSU

 Finding an efficient method to detect counterfeit banknotes is imperative. In this study, we propose multiple kernel weighted support vector machine for counterfeit banknote recognition.… (more)

Subjects/Keywords: Support vector machine; Banknote recognition; Multiple kernel learning; Semidefinite programming; False alarm rate; Weighted support vector machine

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APA (6th Edition):

Su, W. (2008). Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-172006

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):

Su, Wen-pin. “Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition.” 2008. Thesis, NSYSU. Accessed January 19, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-172006.

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

MLA Handbook (7th Edition):

Su, Wen-pin. “Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition.” 2008. Web. 19 Jan 2020.

Vancouver:

Su W. Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition. [Internet] [Thesis]. NSYSU; 2008. [cited 2020 Jan 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-172006.

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

Council of Science Editors:

Su W. Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-172006

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


KTH

24. Abelin, Sarah. Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment.

Degree: Machine Design (Dept.), 2017, KTH

Monitoring water level in harsh environment in order to handle the start and stop function of drainage pumps has been a major issue. Several… (more)

Subjects/Keywords: sensor fusion; support vector machine; level sensors; drainage pumps; water; sensor fusion; support vector machine; nivågivare; dräneringspumpar; Mechanical Engineering; Maskinteknik

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APA (6th Edition):

Abelin, S. (2017). Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223

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):

Abelin, Sarah. “Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment.” 2017. Thesis, KTH. Accessed January 19, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223.

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

MLA Handbook (7th Edition):

Abelin, Sarah. “Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment.” 2017. Web. 19 Jan 2020.

Vancouver:

Abelin S. Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment. [Internet] [Thesis]. KTH; 2017. [cited 2020 Jan 19]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223.

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

Council of Science Editors:

Abelin S. Investigation of integrated waterlevel sensor solution forsubmersible pumps : A study of how sensors can be combined towithstand build-up materials and improvereliability in harsh environment. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210223

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


NSYSU

25. Chen, Chia-ying. Speech Emotion Recognition Using Factor Analysis and Identity Vectors.

Degree: Master, Computer Science and Engineering, 2016, NSYSU

 In this paper, we challenge INTERSPEECH 2009 Emotion open performance sub-Challenge of 5 class problem. Our research evaluates on the well-known FAU Aibo database. We… (more)

Subjects/Keywords: i-vector; Speech Emotion Recognition; Vocal Tract Length Normalization; Gaussian Mixture Model; Support Vector Machine

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

APA (6th Edition):

Chen, C. (2016). Speech Emotion Recognition Using Factor Analysis and Identity Vectors. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809116-110726

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):

Chen, Chia-ying. “Speech Emotion Recognition Using Factor Analysis and Identity Vectors.” 2016. Thesis, NSYSU. Accessed January 19, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809116-110726.

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

MLA Handbook (7th Edition):

Chen, Chia-ying. “Speech Emotion Recognition Using Factor Analysis and Identity Vectors.” 2016. Web. 19 Jan 2020.

Vancouver:

Chen C. Speech Emotion Recognition Using Factor Analysis and Identity Vectors. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Jan 19]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809116-110726.

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

Council of Science Editors:

Chen C. Speech Emotion Recognition Using Factor Analysis and Identity Vectors. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0809116-110726

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


Texas A&M University

26. Narayana, Sushirdeep. Affect Recognition Using Electroencephalography Features.

Degree: 2017, Texas A&M University

 Affect is the psychological display of emotion often described with three principal dimensions: 1) valence 2) arousal and 3) dominance. This thesis work explores the… (more)

Subjects/Keywords: affect; electroencephalography; machine learning; Support Vector Machines; feature selection

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APA (6th Edition):

Narayana, S. (2017). Affect Recognition Using Electroencephalography Features. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/161603

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):

Narayana, Sushirdeep. “Affect Recognition Using Electroencephalography Features.” 2017. Thesis, Texas A&M University. Accessed January 19, 2020. http://hdl.handle.net/1969.1/161603.

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

MLA Handbook (7th Edition):

Narayana, Sushirdeep. “Affect Recognition Using Electroencephalography Features.” 2017. Web. 19 Jan 2020.

Vancouver:

Narayana S. Affect Recognition Using Electroencephalography Features. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1969.1/161603.

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

Council of Science Editors:

Narayana S. Affect Recognition Using Electroencephalography Features. [Thesis]. Texas A&M University; 2017. Available from: http://hdl.handle.net/1969.1/161603

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

27. Yu, Shaoda. EEG-based Drowsiness Detection using Support Vector Machine.

Degree: 2014, Texas A&M University

 Every year 100,000 car crashes occur as a direct result of driver fatigue resulting in 1,550 deaths, 71,000 injuries, and $12.5 billion in losses as… (more)

Subjects/Keywords: Drowsiness; Support Vector Machine

…margin. Support vectors are represented by circles with outlines. Reprinted with permission… …across 4 frequency bands, resulting in a 304 feature vector for each epoch of EEG. By carefully… …x29;, where µ is the mean vector and ∑ is the covariance matrix. To compute the deviation of… …up with a 304 feature vector for each epoch (4 𝑓𝑒𝑎𝑡𝑢𝑟𝑒 𝑥 4 𝑏𝑎𝑛𝑑 𝑥 19… 

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APA (6th Edition):

Yu, S. (2014). EEG-based Drowsiness Detection using Support Vector Machine. (Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/153600

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):

Yu, Shaoda. “EEG-based Drowsiness Detection using Support Vector Machine.” 2014. Thesis, Texas A&M University. Accessed January 19, 2020. http://hdl.handle.net/1969.1/153600.

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

MLA Handbook (7th Edition):

Yu, Shaoda. “EEG-based Drowsiness Detection using Support Vector Machine.” 2014. Web. 19 Jan 2020.

Vancouver:

Yu S. EEG-based Drowsiness Detection using Support Vector Machine. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2020 Jan 19]. Available from: http://hdl.handle.net/1969.1/153600.

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

Council of Science Editors:

Yu S. EEG-based Drowsiness Detection using Support Vector Machine. [Thesis]. Texas A&M University; 2014. Available from: http://hdl.handle.net/1969.1/153600

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


Universidade do Rio Grande do Norte

28. Takahashi, Adriana. Máquina de vetores-suporte intervalar .

Degree: 2012, Universidade do Rio Grande do Norte

 The Support Vector Machines (SVM) has attracted increasing attention in machine learning area, particularly on classification and patterns recognition. However, in some cases it is… (more)

Subjects/Keywords: Máquinas de vetores suporte. Intervalar. Kernel; Support vector machine. Interval. Kernel

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

APA (6th Edition):

Takahashi, A. (2012). Máquina de vetores-suporte intervalar . (Doctoral Dissertation). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/15225

Chicago Manual of Style (16th Edition):

Takahashi, Adriana. “Máquina de vetores-suporte intervalar .” 2012. Doctoral Dissertation, Universidade do Rio Grande do Norte. Accessed January 19, 2020. http://repositorio.ufrn.br/handle/123456789/15225.

MLA Handbook (7th Edition):

Takahashi, Adriana. “Máquina de vetores-suporte intervalar .” 2012. Web. 19 Jan 2020.

Vancouver:

Takahashi A. Máquina de vetores-suporte intervalar . [Internet] [Doctoral dissertation]. Universidade do Rio Grande do Norte; 2012. [cited 2020 Jan 19]. Available from: http://repositorio.ufrn.br/handle/123456789/15225.

Council of Science Editors:

Takahashi A. Máquina de vetores-suporte intervalar . [Doctoral Dissertation]. Universidade do Rio Grande do Norte; 2012. Available from: http://repositorio.ufrn.br/handle/123456789/15225


Wright State University

29. Pavy, Anne M. SV-Means: A Fast One-Class Support Vector Machine-Based Level Set Estimator.

Degree: PhD, Electrical Engineering, 2017, Wright State University

 In this dissertation, a novel algorithm, SV-Means, is developed motivated by the many functions needed to perform radar waveform classification in an evolving, contested environment.… (more)

Subjects/Keywords: Electrical Engineering; open set classification; one-class support vector machine

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

APA (6th Edition):

Pavy, A. M. (2017). SV-Means: A Fast One-Class Support Vector Machine-Based Level Set Estimator. (Doctoral Dissertation). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1516047120200949

Chicago Manual of Style (16th Edition):

Pavy, Anne M. “SV-Means: A Fast One-Class Support Vector Machine-Based Level Set Estimator.” 2017. Doctoral Dissertation, Wright State University. Accessed January 19, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1516047120200949.

MLA Handbook (7th Edition):

Pavy, Anne M. “SV-Means: A Fast One-Class Support Vector Machine-Based Level Set Estimator.” 2017. Web. 19 Jan 2020.

Vancouver:

Pavy AM. SV-Means: A Fast One-Class Support Vector Machine-Based Level Set Estimator. [Internet] [Doctoral dissertation]. Wright State University; 2017. [cited 2020 Jan 19]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1516047120200949.

Council of Science Editors:

Pavy AM. SV-Means: A Fast One-Class Support Vector Machine-Based Level Set Estimator. [Doctoral Dissertation]. Wright State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1516047120200949


Anna University

30. Gireesh Kumar T. Certain investigations on mobile robot navigation for unknown and unpredictable environment;.

Degree: 2013, Anna University

Intelligent robots are expected to work intelligently even in the unknown/uncertain environment. It is sometimes difficult to evaluate their performance with only one evaluation function… (more)

Subjects/Keywords: Mobile robot navigation; unpredictable environment; fuzzy logic; support vector machine

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

APA (6th Edition):

T, G. K. (2013). Certain investigations on mobile robot navigation for unknown and unpredictable environment;. (Thesis). Anna University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/11692

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):

T, Gireesh Kumar. “Certain investigations on mobile robot navigation for unknown and unpredictable environment;.” 2013. Thesis, Anna University. Accessed January 19, 2020. http://shodhganga.inflibnet.ac.in/handle/10603/11692.

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

MLA Handbook (7th Edition):

T, Gireesh Kumar. “Certain investigations on mobile robot navigation for unknown and unpredictable environment;.” 2013. Web. 19 Jan 2020.

Vancouver:

T GK. Certain investigations on mobile robot navigation for unknown and unpredictable environment;. [Internet] [Thesis]. Anna University; 2013. [cited 2020 Jan 19]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11692.

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

Council of Science Editors:

T GK. Certain investigations on mobile robot navigation for unknown and unpredictable environment;. [Thesis]. Anna University; 2013. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/11692

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

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