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You searched for subject:(Support Vector Machine). Showing records 1 – 30 of 677 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 June 26, 2019. 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. 26 Jun 2019.

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 2019 Jun 26]. 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 Nairobi

2. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Wagacha PW. Support vector machines: A Critical empirical evaluation . [Internet] [Thesis]. University of Nairobi; 2003. [cited 2019 Jun 26]. 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

3. 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 June 26, 2019. 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. 26 Jun 2019.

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 2019 Jun 26]. 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

4. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Lin BY. Augmented breast tumor classification by perfusion analysis. [Internet] [Doctoral dissertation]. Louisiana State University; 2010. [cited 2019 Jun 26]. 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

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

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 June 26, 2019. 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. 26 Jun 2019.

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 2019 Jun 26]. 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

6. 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 (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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Belur Nagaraj S. Neonatal EEG classification using atomic decomposition. [Internet] [Thesis]. University College Cork; 2015. [cited 2019 Jun 26]. 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


University of New Mexico

7. 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 June 26, 2019. http://hdl.handle.net/1928/24289.

MLA Handbook (7th Edition):

Anderson, Blake. “Integrating Multiple Data Views for Improved Malware Analysis.” 2014. Web. 26 Jun 2019.

Vancouver:

Anderson B. Integrating Multiple Data Views for Improved Malware Analysis. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2019 Jun 26]. 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

8. 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 June 26, 2019. http://hdl.handle.net/1911/77325.

MLA Handbook (7th Edition):

Wilhelm, Keith. “Classification Techniques for Undersampled Electromyography and Electrocardiography.” 2012. Web. 26 Jun 2019.

Vancouver:

Wilhelm K. Classification Techniques for Undersampled Electromyography and Electrocardiography. [Internet] [Masters thesis]. Rice University; 2012. [cited 2019 Jun 26]. 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


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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Johnson S. Machine learning based approaches to predict and optimize hot methods;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Jun 26]. 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Asharaf S. Efficient Kernel Methods For Large Scale Classification. [Internet] [Thesis]. Indian Institute of Science; 2007. [cited 2019 Jun 26]. 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 June 26, 2019. https://era.library.ualberta.ca/files/765372669.

MLA Handbook (7th Edition):

Bostan, Babak. “Predicting homologous signaling pathways using machine learning.” 2009. Web. 26 Jun 2019.

Vancouver:

Bostan B. Predicting homologous signaling pathways using machine learning. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2019 Jun 26]. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Chang C. Accuracy Improvement for RNA Secondary Structure Prediction with SVM. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Jun 26]. 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Camelo PMBdS. Botnet cluster identification. [Internet] [Thesis]. Universidade Nova; 2015. [cited 2019 Jun 26]. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

McCurry KL. The Development and Validation of a Neural Model of Affective States. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2019 Jun 26]. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Kirmani F. Exploring Machine Learning Techniques To Improve Peptide Identification. [Internet] [Thesis]. University of South Carolina; 2018. [cited 2019 Jun 26]. 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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

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 June 26, 2019. http://hdl.handle.net/1842/22814.

MLA Handbook (7th Edition):

Zarogianni, Eleni. “Machine learning and brain imaging in psychosis.” 2016. Web. 26 Jun 2019.

Vancouver:

Zarogianni E. Machine learning and brain imaging in psychosis. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 Jun 26]. 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


Humboldt University of Berlin

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

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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Fu H. Credit risk evaluating using SVM. [Internet] [Masters thesis]. Humboldt University of Berlin; 2016. [cited 2019 Jun 26]. 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

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

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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Su W. Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 Jun 26]. 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

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

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 June 26, 2019. 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. 26 Jun 2019.

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 2019 Jun 26]. 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


University of Otago

20. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Woods AM. Differentiation of Parkinson’s Tremor from Essential Tremor using Action Tremor Analysis . [Internet] [Masters thesis]. University of Otago; 2012. [cited 2019 Jun 26]. 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

21. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Hrabinová B. Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže . [Internet] [Thesis]. Brno University of Technology; 2016. [cited 2019 Jun 26]. 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

22. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Hrabinová B. Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 Jun 26]. 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


NSYSU

23. 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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Chen C. Speech Emotion Recognition Using Factor Analysis and Identity Vectors. [Internet] [Thesis]. NSYSU; 2016. [cited 2019 Jun 26]. 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


University of Kentucky

24. Gombos, Andrew David. DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY.

Degree: 2010, University of Kentucky

 The recent growth in inexpensive laser scanning sensors has created entire fields of research aimed at processing this data. One application is determining the polygonal… (more)

Subjects/Keywords: LiDAR data; Support Vector Machine; Segmentation; Building extraction; terrain; Computer Engineering

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

APA (6th Edition):

Gombos, A. D. (2010). DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY. (Masters Thesis). University of Kentucky. Retrieved from http://uknowledge.uky.edu/gradschool_theses/75

Chicago Manual of Style (16th Edition):

Gombos, Andrew David. “DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY.” 2010. Masters Thesis, University of Kentucky. Accessed June 26, 2019. http://uknowledge.uky.edu/gradschool_theses/75.

MLA Handbook (7th Edition):

Gombos, Andrew David. “DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY.” 2010. Web. 26 Jun 2019.

Vancouver:

Gombos AD. DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY. [Internet] [Masters thesis]. University of Kentucky; 2010. [cited 2019 Jun 26]. Available from: http://uknowledge.uky.edu/gradschool_theses/75.

Council of Science Editors:

Gombos AD. DETECTION OF ROOF BOUNDARIES USING LIDAR DATA AND AERIAL PHOTOGRAPHY. [Masters Thesis]. University of Kentucky; 2010. Available from: http://uknowledge.uky.edu/gradschool_theses/75


Dalhousie University

25. Perry, Scott. Characterizing The Distinguishability Of Microbial Genomes.

Degree: MS, Faculty of Computer Science, 2010, Dalhousie University

 The field of metagenomics has shown great promise in the ability to recover microbial DNA from communities whose members resist traditional cultivation techniques, although in… (more)

Subjects/Keywords: genome signature; genome composition; metagenomics; support vector machine

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

APA (6th Edition):

Perry, S. (2010). Characterizing The Distinguishability Of Microbial Genomes. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/12809

Chicago Manual of Style (16th Edition):

Perry, Scott. “Characterizing The Distinguishability Of Microbial Genomes.” 2010. Masters Thesis, Dalhousie University. Accessed June 26, 2019. http://hdl.handle.net/10222/12809.

MLA Handbook (7th Edition):

Perry, Scott. “Characterizing The Distinguishability Of Microbial Genomes.” 2010. Web. 26 Jun 2019.

Vancouver:

Perry S. Characterizing The Distinguishability Of Microbial Genomes. [Internet] [Masters thesis]. Dalhousie University; 2010. [cited 2019 Jun 26]. Available from: http://hdl.handle.net/10222/12809.

Council of Science Editors:

Perry S. Characterizing The Distinguishability Of Microbial Genomes. [Masters Thesis]. Dalhousie University; 2010. Available from: http://hdl.handle.net/10222/12809

26. Pöyhönen, Sanna. Support Vector Machine Based Classification in Condition Monitoring of Induction Motors.

Degree: 2004, Helsinki University of Technology

Continuous and trouble-free operation of induction motors is an essential part of modern power and production plants. Faults and failures of electrical machinery may cause… (more)

Subjects/Keywords: fault diagnostics; induction motor; support vector machine; classification

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

APA (6th Edition):

Pöyhönen, S. (2004). Support Vector Machine Based Classification in Condition Monitoring of Induction Motors. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2004/isbn9512271559/

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):

Pöyhönen, Sanna. “Support Vector Machine Based Classification in Condition Monitoring of Induction Motors.” 2004. Thesis, Helsinki University of Technology. Accessed June 26, 2019. http://lib.tkk.fi/Diss/2004/isbn9512271559/.

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

MLA Handbook (7th Edition):

Pöyhönen, Sanna. “Support Vector Machine Based Classification in Condition Monitoring of Induction Motors.” 2004. Web. 26 Jun 2019.

Vancouver:

Pöyhönen S. Support Vector Machine Based Classification in Condition Monitoring of Induction Motors. [Internet] [Thesis]. Helsinki University of Technology; 2004. [cited 2019 Jun 26]. Available from: http://lib.tkk.fi/Diss/2004/isbn9512271559/.

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

Council of Science Editors:

Pöyhönen S. Support Vector Machine Based Classification in Condition Monitoring of Induction Motors. [Thesis]. Helsinki University of Technology; 2004. Available from: http://lib.tkk.fi/Diss/2004/isbn9512271559/

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


Texas A&M University

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

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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Narayana S. Affect Recognition Using Electroencephalography Features. [Internet] [Thesis]. Texas A&M University; 2017. [cited 2019 Jun 26]. 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

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

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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

Yu S. EEG-based Drowsiness Detection using Support Vector Machine. [Internet] [Thesis]. Texas A&M University; 2014. [cited 2019 Jun 26]. 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

29. 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 June 26, 2019. http://repositorio.ufrn.br/handle/123456789/15225.

MLA Handbook (7th Edition):

Takahashi, Adriana. “Máquina de vetores-suporte intervalar .” 2012. Web. 26 Jun 2019.

Vancouver:

Takahashi A. Máquina de vetores-suporte intervalar . [Internet] [Doctoral dissertation]. Universidade do Rio Grande do Norte; 2012. [cited 2019 Jun 26]. 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


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 June 26, 2019. 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. 26 Jun 2019.

Vancouver:

T GK. Certain investigations on mobile robot navigation for unknown and unpredictable environment;. [Internet] [Thesis]. Anna University; 2013. [cited 2019 Jun 26]. 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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