Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(support vector machine). Showing records 1 – 30 of 856 total matches.

[1] [2] [3] [4] [5] … [29]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

Languages

Country

▼ Search Limiters

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

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 2021 Mar 06]. 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


Texas A&M University

2. Tan, Kun. Vibration Data Analysis for Worker-Level Productivity Tracking in Construction Projects.

Degree: MS, Construction Management, 2018, Texas A&M University

 The construction industry has been suffering from declining productivity since the 1950s. To tackle this issue, our industry has developed numerous productivity-tracking methods and systems.… (more)

Subjects/Keywords: Support Vector Machine; Construction Action; Productivity Tracking

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tan, K. (2018). Vibration Data Analysis for Worker-Level Productivity Tracking in Construction Projects. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/174154

Chicago Manual of Style (16th Edition):

Tan, Kun. “Vibration Data Analysis for Worker-Level Productivity Tracking in Construction Projects.” 2018. Masters Thesis, Texas A&M University. Accessed March 06, 2021. http://hdl.handle.net/1969.1/174154.

MLA Handbook (7th Edition):

Tan, Kun. “Vibration Data Analysis for Worker-Level Productivity Tracking in Construction Projects.” 2018. Web. 06 Mar 2021.

Vancouver:

Tan K. Vibration Data Analysis for Worker-Level Productivity Tracking in Construction Projects. [Internet] [Masters thesis]. Texas A&M University; 2018. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/1969.1/174154.

Council of Science Editors:

Tan K. Vibration Data Analysis for Worker-Level Productivity Tracking in Construction Projects. [Masters Thesis]. Texas A&M University; 2018. Available from: http://hdl.handle.net/1969.1/174154


University of Nairobi

3. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Wagacha PW. Support vector machines: A Critical empirical evaluation . [Internet] [Thesis]. University of Nairobi; 2003. [cited 2021 Mar 06]. 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


Delft University of Technology

4. Liscio, Enrico (author). Learning Autonomous Grasping Strategies for a Care Robot: A Machine Learning approach.

Degree: 2017, Delft University of Technology

Autonomous grasping is a key requisite for the autonomy of robots. However, grasping of unknown objects in domestic environments is difficult due to the presence… (more)

Subjects/Keywords: Machine Learning; Robotics; Grasping; Support Vector Machines

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Liscio, E. (. (2017). Learning Autonomous Grasping Strategies for a Care Robot: A Machine Learning approach. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:261fb6d5-bcda-471a-907a-e3fdcec20e50

Chicago Manual of Style (16th Edition):

Liscio, Enrico (author). “Learning Autonomous Grasping Strategies for a Care Robot: A Machine Learning approach.” 2017. Masters Thesis, Delft University of Technology. Accessed March 06, 2021. http://resolver.tudelft.nl/uuid:261fb6d5-bcda-471a-907a-e3fdcec20e50.

MLA Handbook (7th Edition):

Liscio, Enrico (author). “Learning Autonomous Grasping Strategies for a Care Robot: A Machine Learning approach.” 2017. Web. 06 Mar 2021.

Vancouver:

Liscio E(. Learning Autonomous Grasping Strategies for a Care Robot: A Machine Learning approach. [Internet] [Masters thesis]. Delft University of Technology; 2017. [cited 2021 Mar 06]. Available from: http://resolver.tudelft.nl/uuid:261fb6d5-bcda-471a-907a-e3fdcec20e50.

Council of Science Editors:

Liscio E(. Learning Autonomous Grasping Strategies for a Care Robot: A Machine Learning approach. [Masters Thesis]. Delft University of Technology; 2017. Available from: http://resolver.tudelft.nl/uuid:261fb6d5-bcda-471a-907a-e3fdcec20e50

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

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 2021 Mar 06]. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Belur Nagaraj S. Neonatal EEG classification using atomic decomposition. [Internet] [Thesis]. University College Cork; 2015. [cited 2021 Mar 06]. 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


Rice University

7. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 March 06, 2021. http://hdl.handle.net/1911/77325.

MLA Handbook (7th Edition):

Wilhelm, Keith. “Classification Techniques for Undersampled Electromyography and Electrocardiography.” 2012. Web. 06 Mar 2021.

Vancouver:

Wilhelm K. Classification Techniques for Undersampled Electromyography and Electrocardiography. [Internet] [Masters thesis]. Rice University; 2012. [cited 2021 Mar 06]. 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 Technology, Sydney

8. 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.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 March 06, 2021. 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. 06 Mar 2021.

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 2021 Mar 06]. 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


University of New Mexico

9. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 March 06, 2021. http://hdl.handle.net/1928/24289.

MLA Handbook (7th Edition):

Anderson, Blake. “Integrating Multiple Data Views for Improved Malware Analysis.” 2014. Web. 06 Mar 2021.

Vancouver:

Anderson B. Integrating Multiple Data Views for Improved Malware Analysis. [Internet] [Doctoral dissertation]. University of New Mexico; 2014. [cited 2021 Mar 06]. 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


University of Georgia

10. Fatehpuria, Naman. Parallel Support Vector Machines using SMO.

Degree: 2015, University of Georgia

 We present an algorithm for Support Vector Machines that can be parallelized effectively. The Algorithm scales up nicely on very large datasets of million training… (more)

Subjects/Keywords: Parallel support vector machine; Sequential minimal optimization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Fatehpuria, N. (2015). Parallel Support Vector Machines using SMO. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/31411

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):

Fatehpuria, Naman. “Parallel Support Vector Machines using SMO.” 2015. Thesis, University of Georgia. Accessed March 06, 2021. http://hdl.handle.net/10724/31411.

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

MLA Handbook (7th Edition):

Fatehpuria, Naman. “Parallel Support Vector Machines using SMO.” 2015. Web. 06 Mar 2021.

Vancouver:

Fatehpuria N. Parallel Support Vector Machines using SMO. [Internet] [Thesis]. University of Georgia; 2015. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10724/31411.

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

Council of Science Editors:

Fatehpuria N. Parallel Support Vector Machines using SMO. [Thesis]. University of Georgia; 2015. Available from: http://hdl.handle.net/10724/31411

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


Anna University

11. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Johnson S. Machine learning based approaches to predict and optimize hot methods;. [Internet] [Thesis]. Anna University; 2013. [cited 2021 Mar 06]. 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

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

Degree: PhD, Faculty of Engineering, 2011, 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Asharaf, S. (2011). Efficient Kernel Methods For Large Scale Classification. (Doctoral Dissertation). Indian Institute of Science. Retrieved from http://etd.iisc.ac.in/handle/2005/1076

Chicago Manual of Style (16th Edition):

Asharaf, S. “Efficient Kernel Methods For Large Scale Classification.” 2011. Doctoral Dissertation, Indian Institute of Science. Accessed March 06, 2021. http://etd.iisc.ac.in/handle/2005/1076.

MLA Handbook (7th Edition):

Asharaf, S. “Efficient Kernel Methods For Large Scale Classification.” 2011. Web. 06 Mar 2021.

Vancouver:

Asharaf S. Efficient Kernel Methods For Large Scale Classification. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2011. [cited 2021 Mar 06]. Available from: http://etd.iisc.ac.in/handle/2005/1076.

Council of Science Editors:

Asharaf S. Efficient Kernel Methods For Large Scale Classification. [Doctoral Dissertation]. Indian Institute of Science; 2011. Available from: http://etd.iisc.ac.in/handle/2005/1076


NSYSU

13. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Chang C. Accuracy Improvement for RNA Secondary Structure Prediction with SVM. [Internet] [Thesis]. NSYSU; 2008. [cited 2021 Mar 06]. 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


Rochester Institute of Technology

14. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Karvekar SB. Smartphone-based Human Fatigue Detection in an Industrial Environment Using Gait Analysis. [Internet] [Masters thesis]. Rochester Institute of Technology; 2019. [cited 2021 Mar 06]. 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 Edinburgh

15. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. http://hdl.handle.net/1842/22814.

MLA Handbook (7th Edition):

Zarogianni, Eleni. “Machine learning and brain imaging in psychosis.” 2016. Web. 06 Mar 2021.

Vancouver:

Zarogianni E. Machine learning and brain imaging in psychosis. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2021 Mar 06]. 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


University of Alberta

16. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. https://era.library.ualberta.ca/files/765372669.

MLA Handbook (7th Edition):

Bostan, Babak. “Predicting homologous signaling pathways using machine learning.” 2009. Web. 06 Mar 2021.

Vancouver:

Bostan B. Predicting homologous signaling pathways using machine learning. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2021 Mar 06]. 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


Universidade Nova

17. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Camelo PMBdS. Botnet cluster identification. [Internet] [Thesis]. Universidade Nova; 2015. [cited 2021 Mar 06]. 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


Colorado State University

18. Rogers, Mark F. From RNA-Seq to gene annotation using the splicegrapher method.

Degree: PhD, Computer Science, 2013, Colorado State University

 Messenger RNA (mRNA) plays a central role in carrying out the instructions encoded in a gene. A gene's components may be combined in various ways… (more)

Subjects/Keywords: RNA-seq; machine learning; support vector machine; computational biology; inference

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rogers, M. F. (2013). From RNA-Seq to gene annotation using the splicegrapher method. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80971

Chicago Manual of Style (16th Edition):

Rogers, Mark F. “From RNA-Seq to gene annotation using the splicegrapher method.” 2013. Doctoral Dissertation, Colorado State University. Accessed March 06, 2021. http://hdl.handle.net/10217/80971.

MLA Handbook (7th Edition):

Rogers, Mark F. “From RNA-Seq to gene annotation using the splicegrapher method.” 2013. Web. 06 Mar 2021.

Vancouver:

Rogers MF. From RNA-Seq to gene annotation using the splicegrapher method. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Mar 06]. Available from: http://hdl.handle.net/10217/80971.

Council of Science Editors:

Rogers MF. From RNA-Seq to gene annotation using the splicegrapher method. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80971


Tampere University

19. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. https://trepo.tuni.fi/handle/10024/101911.

MLA Handbook (7th Edition):

Kallio, Julius. “Support Vector Machine and Deep Learning in Medical Applications .” 2017. Web. 06 Mar 2021.

Vancouver:

Kallio J. Support Vector Machine and Deep Learning in Medical Applications . [Internet] [Masters thesis]. Tampere University; 2017. [cited 2021 Mar 06]. 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


Delft University of Technology

20. Kharagjitsing, Manish (author). Optimizing Support Vector Machines with ISBA-A-gs Land Surface Variables as a Surrogate Model to Simulate ASCAT Derived Parameters.

Degree: 2020, Delft University of Technology

The TU-Wien developed a soil moisture retrieval algorithm that uses the incidence angle dependence of backscatter to obtain soil moisture estimates (Wagner et al., 1999).… (more)

Subjects/Keywords: ASCAT; Remote Sensing; Machine Learning; Support Vector Machine

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kharagjitsing, M. (. (2020). Optimizing Support Vector Machines with ISBA-A-gs Land Surface Variables as a Surrogate Model to Simulate ASCAT Derived Parameters. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:2a9c3314-57b6-4471-9d81-b79199e5ffbd

Chicago Manual of Style (16th Edition):

Kharagjitsing, Manish (author). “Optimizing Support Vector Machines with ISBA-A-gs Land Surface Variables as a Surrogate Model to Simulate ASCAT Derived Parameters.” 2020. Masters Thesis, Delft University of Technology. Accessed March 06, 2021. http://resolver.tudelft.nl/uuid:2a9c3314-57b6-4471-9d81-b79199e5ffbd.

MLA Handbook (7th Edition):

Kharagjitsing, Manish (author). “Optimizing Support Vector Machines with ISBA-A-gs Land Surface Variables as a Surrogate Model to Simulate ASCAT Derived Parameters.” 2020. Web. 06 Mar 2021.

Vancouver:

Kharagjitsing M(. Optimizing Support Vector Machines with ISBA-A-gs Land Surface Variables as a Surrogate Model to Simulate ASCAT Derived Parameters. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 06]. Available from: http://resolver.tudelft.nl/uuid:2a9c3314-57b6-4471-9d81-b79199e5ffbd.

Council of Science Editors:

Kharagjitsing M(. Optimizing Support Vector Machines with ISBA-A-gs Land Surface Variables as a Surrogate Model to Simulate ASCAT Derived Parameters. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:2a9c3314-57b6-4471-9d81-b79199e5ffbd


Addis Ababa University

21. Haftom, Aregawi. Weather Forecasting using Deep Learning Algorithm for the Ethiopian Context .

Degree: 2018, Addis Ababa University

 Weather forecasting is the application of science and technology to predict the state of the atmosphere for a future time and a given location. Now… (more)

Subjects/Keywords: Weather; Deep Belief Network; Support Vector Machine; Restricted Boltzman Machine; Meteorology

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Haftom, A. (2018). Weather Forecasting using Deep Learning Algorithm for the Ethiopian Context . (Thesis). Addis Ababa University. Retrieved from http://10.6.20.92/handle/123456789/20925

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):

Haftom, Aregawi. “Weather Forecasting using Deep Learning Algorithm for the Ethiopian Context .” 2018. Thesis, Addis Ababa University. Accessed March 06, 2021. http://10.6.20.92/handle/123456789/20925.

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

MLA Handbook (7th Edition):

Haftom, Aregawi. “Weather Forecasting using Deep Learning Algorithm for the Ethiopian Context .” 2018. Web. 06 Mar 2021.

Vancouver:

Haftom A. Weather Forecasting using Deep Learning Algorithm for the Ethiopian Context . [Internet] [Thesis]. Addis Ababa University; 2018. [cited 2021 Mar 06]. Available from: http://10.6.20.92/handle/123456789/20925.

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

Council of Science Editors:

Haftom A. Weather Forecasting using Deep Learning Algorithm for the Ethiopian Context . [Thesis]. Addis Ababa University; 2018. Available from: http://10.6.20.92/handle/123456789/20925

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


Virginia Tech

22. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

McCurry KL. The Development and Validation of a Neural Model of Affective States. [Internet] [Masters thesis]. Virginia Tech; 2015. [cited 2021 Mar 06]. 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


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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Su W. Employing Multiple Kernel Support Vector Machines for Counterfeit Banknote Recognition. [Internet] [Thesis]. NSYSU; 2008. [cited 2021 Mar 06]. 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


University of Otago

24. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Woods AM. Differentiation of Parkinson’s Tremor from Essential Tremor using Action Tremor Analysis . [Internet] [Masters thesis]. University of Otago; 2012. [cited 2021 Mar 06]. 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

25. Hrabinová, Barbora. Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže: Creating predictions average monthly flow for the control of the storage capacity of a fictive reservoir dam.

Degree: 2019, Brno University of Technology

 The diploma thesis is focused on predictions of mean monthly flows for a purpose of control of storage functions when thinking differently positions of fictive… (more)

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hrabinová, B. (2019). Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže: Creating predictions average monthly flow for the control of the storage capacity of a fictive reservoir dam. (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: Creating predictions average monthly flow for the control of the storage capacity of a fictive reservoir dam.” 2019. Thesis, Brno University of Technology. Accessed March 06, 2021. 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: Creating predictions average monthly flow for the control of the storage capacity of a fictive reservoir dam.” 2019. Web. 06 Mar 2021.

Vancouver:

Hrabinová B. Vytvoření předpovědi průměrných měsíčních průtoků pro řízení zásobní funkce fiktivní vodní nádrže: Creating predictions average monthly flow for the control of the storage capacity of a fictive reservoir dam. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Mar 06]. 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: Creating predictions average monthly flow for the control of the storage capacity of a fictive reservoir dam. [Thesis]. Brno University of Technology; 2019. 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


Brno University of Technology

26. Hrabinová, Barbora. Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže: Creating predictions average monthly flow for the strategic control of water reservoir.

Degree: 2020, Brno University of Technology

 The bachelor`s thesis is focused on predictions of mean monthly flows for a purpose of control of reservoir Vír I. Predictions are made by Support(more)

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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hrabinová, B. (2020). Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže: Creating predictions average monthly flow for the strategic control of water reservoir. (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: Creating predictions average monthly flow for the strategic control of water reservoir.” 2020. Thesis, Brno University of Technology. Accessed March 06, 2021. 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: Creating predictions average monthly flow for the strategic control of water reservoir.” 2020. Web. 06 Mar 2021.

Vancouver:

Hrabinová B. Vytvoření předpovědí průměrných měsíčních průtoků pro strategické řízení vodní nádrže: Creating predictions average monthly flow for the strategic control of water reservoir. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Mar 06]. 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: Creating predictions average monthly flow for the strategic control of water reservoir. [Thesis]. Brno University of Technology; 2020. 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


NSYSU

27. 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

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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 March 06, 2021. 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. 06 Mar 2021.

Vancouver:

Chen C. Speech Emotion Recognition Using Factor Analysis and Identity Vectors. [Internet] [Thesis]. NSYSU; 2016. [cited 2021 Mar 06]. 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


NSYSU

28. Tsai, Bo-Jen. Machine learning Classification based on Principal Component Analysis and Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle.

Degree: Master, Applied Mathematics, 2014, NSYSU

 In this work, we study heart diseases related to diastolic and systolic of heart in left ventricle. Following Hung (2012) and Liu (2012), the differences… (more)

Subjects/Keywords: gray-scale value; random forest; regularized discriminant analysis; support vector machine

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tsai, B. (2014). Machine learning Classification based on Principal Component Analysis and Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-155151

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):

Tsai, Bo-Jen. “Machine learning Classification based on Principal Component Analysis and Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle.” 2014. Thesis, NSYSU. Accessed March 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-155151.

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

MLA Handbook (7th Edition):

Tsai, Bo-Jen. “Machine learning Classification based on Principal Component Analysis and Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle.” 2014. Web. 06 Mar 2021.

Vancouver:

Tsai B. Machine learning Classification based on Principal Component Analysis and Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle. [Internet] [Thesis]. NSYSU; 2014. [cited 2021 Mar 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-155151.

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

Council of Science Editors:

Tsai B. Machine learning Classification based on Principal Component Analysis and Multilinear Principal Component Analysis for Study of Cardiology Ultrasound in Left Ventricle. [Thesis]. NSYSU; 2014. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0614114-155151

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


NSYSU

29. Wu, Hsin-Fang. Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 Given a protein sequence and the Cα coordinates on its backbone, the all-atom protein backbone reconstruction problem (PBRP) is to reconstruct the backbone by its… (more)

Subjects/Keywords: backbone; bioinformatics; standard protein; support vector machine; feature set

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wu, H. (2012). Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-132025

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):

Wu, Hsin-Fang. “Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins.” 2012. Thesis, NSYSU. Accessed March 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-132025.

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

MLA Handbook (7th Edition):

Wu, Hsin-Fang. “Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins.” 2012. Web. 06 Mar 2021.

Vancouver:

Wu H. Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 Mar 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-132025.

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

Council of Science Editors:

Wu H. Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-132025

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


NSYSU

30. Chen, Hong-Yu. The Disulfide Connectivity Prediction with Support Vector Machine and Behavior Knowledge Space.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 The disulfide bond in a protein is a single covalent bond formed from the oxidation of two cysteines. It plays an important role in the… (more)

Subjects/Keywords: behavior knowledge space; support vector machine; connectivity pattern; disulfide bond; cysteine

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, H. (2012). The Disulfide Connectivity Prediction with Support Vector Machine and Behavior Knowledge Space. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-141458

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, Hong-Yu. “The Disulfide Connectivity Prediction with Support Vector Machine and Behavior Knowledge Space.” 2012. Thesis, NSYSU. Accessed March 06, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-141458.

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

MLA Handbook (7th Edition):

Chen, Hong-Yu. “The Disulfide Connectivity Prediction with Support Vector Machine and Behavior Knowledge Space.” 2012. Web. 06 Mar 2021.

Vancouver:

Chen H. The Disulfide Connectivity Prediction with Support Vector Machine and Behavior Knowledge Space. [Internet] [Thesis]. NSYSU; 2012. [cited 2021 Mar 06]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-141458.

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

Council of Science Editors:

Chen H. The Disulfide Connectivity Prediction with Support Vector Machine and Behavior Knowledge Space. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-141458

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

[1] [2] [3] [4] [5] … [29]

.