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You searched for subject:(SVM). Showing records 1 – 30 of 644 total matches.

[1] [2] [3] [4] [5] … [22]

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Texas A&M University

1. Lin, Yen-Ju. FPGA-Based Cascade Support Vector Machine with Integrated Training.

Degree: MS, Computer Engineering, 2016, Texas A&M University

 Machine learning algorithms allow us to reason about and analyze large amounts of data. The support vector machine (SVM) is one popular learning algorithm, which… (more)

Subjects/Keywords: SVM; FPGA

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APA (6th Edition):

Lin, Y. (2016). FPGA-Based Cascade Support Vector Machine with Integrated Training. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/157764

Chicago Manual of Style (16th Edition):

Lin, Yen-Ju. “FPGA-Based Cascade Support Vector Machine with Integrated Training.” 2016. Masters Thesis, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/157764.

MLA Handbook (7th Edition):

Lin, Yen-Ju. “FPGA-Based Cascade Support Vector Machine with Integrated Training.” 2016. Web. 20 Sep 2020.

Vancouver:

Lin Y. FPGA-Based Cascade Support Vector Machine with Integrated Training. [Internet] [Masters thesis]. Texas A&M University; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/157764.

Council of Science Editors:

Lin Y. FPGA-Based Cascade Support Vector Machine with Integrated Training. [Masters Thesis]. Texas A&M University; 2016. Available from: http://hdl.handle.net/1969.1/157764


University of Alberta

2. Dou, Qing. An SVM ranking approach to stress assignment.

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

 The problem of stress assignment is to identify which syllables are phonetically more prominent than the others in a word. It is not only of… (more)

Subjects/Keywords: SVM ranking stress assignment

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APA (6th Edition):

Dou, Q. (2009). An SVM ranking approach to stress assignment. (Masters Thesis). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/t148fh53s

Chicago Manual of Style (16th Edition):

Dou, Qing. “An SVM ranking approach to stress assignment.” 2009. Masters Thesis, University of Alberta. Accessed September 20, 2020. https://era.library.ualberta.ca/files/t148fh53s.

MLA Handbook (7th Edition):

Dou, Qing. “An SVM ranking approach to stress assignment.” 2009. Web. 20 Sep 2020.

Vancouver:

Dou Q. An SVM ranking approach to stress assignment. [Internet] [Masters thesis]. University of Alberta; 2009. [cited 2020 Sep 20]. Available from: https://era.library.ualberta.ca/files/t148fh53s.

Council of Science Editors:

Dou Q. An SVM ranking approach to stress assignment. [Masters Thesis]. University of Alberta; 2009. Available from: https://era.library.ualberta.ca/files/t148fh53s


University of Newcastle

3. Jiang, Lei. Intelligent recognition of electrical household appliances based on machine learning.

Degree: PhD, 2016, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

The development of smart grids, especially the vast deployment of smart meters, enables users to access their energy… (more)

Subjects/Keywords: NILM; SVM; PCA; power decomposition

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APA (6th Edition):

Jiang, L. (2016). Intelligent recognition of electrical household appliances based on machine learning. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1322134

Chicago Manual of Style (16th Edition):

Jiang, Lei. “Intelligent recognition of electrical household appliances based on machine learning.” 2016. Doctoral Dissertation, University of Newcastle. Accessed September 20, 2020. http://hdl.handle.net/1959.13/1322134.

MLA Handbook (7th Edition):

Jiang, Lei. “Intelligent recognition of electrical household appliances based on machine learning.” 2016. Web. 20 Sep 2020.

Vancouver:

Jiang L. Intelligent recognition of electrical household appliances based on machine learning. [Internet] [Doctoral dissertation]. University of Newcastle; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1959.13/1322134.

Council of Science Editors:

Jiang L. Intelligent recognition of electrical household appliances based on machine learning. [Doctoral Dissertation]. University of Newcastle; 2016. Available from: http://hdl.handle.net/1959.13/1322134


NSYSU

4. Zeng, Ling-Ming. Malware Classification Based on File and Registry Activities.

Degree: Master, Information Management, 2012, NSYSU

 Cyber criminals are trying to steal personal information from victimâs machine to acquire more benefits by using malware. Antivirus is the most commonly used tool… (more)

Subjects/Keywords: Malware; Malware Classification; SVM

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APA (6th Edition):

Zeng, L. (2012). Malware Classification Based on File and Registry Activities. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-145949

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):

Zeng, Ling-Ming. “Malware Classification Based on File and Registry Activities.” 2012. Thesis, NSYSU. Accessed September 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-145949.

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

MLA Handbook (7th Edition):

Zeng, Ling-Ming. “Malware Classification Based on File and Registry Activities.” 2012. Web. 20 Sep 2020.

Vancouver:

Zeng L. Malware Classification Based on File and Registry Activities. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-145949.

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

Council of Science Editors:

Zeng L. Malware Classification Based on File and Registry Activities. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-145949

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


NSYSU

5. Lin, Dong-Jian. Protein Contact Prediction Based on Protein Sequences.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

 The biological function of a protein is mainly maintained by its three-dimensional structure. Protein folds support the three-dimensional structure of a protein, and then the… (more)

Subjects/Keywords: prediction; Contact; SVM; KNN; PDA

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

APA (6th Edition):

Lin, D. (2011). Protein Contact Prediction Based on Protein Sequences. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-150445

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):

Lin, Dong-Jian. “Protein Contact Prediction Based on Protein Sequences.” 2011. Thesis, NSYSU. Accessed September 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-150445.

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

MLA Handbook (7th Edition):

Lin, Dong-Jian. “Protein Contact Prediction Based on Protein Sequences.” 2011. Web. 20 Sep 2020.

Vancouver:

Lin D. Protein Contact Prediction Based on Protein Sequences. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-150445.

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

Council of Science Editors:

Lin D. Protein Contact Prediction Based on Protein Sequences. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-150445

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

6. do Nascimento Júnior, Francisco. Classificação de Proteínas usando Máquinas de Aprendizagem e Descoberta de Padrões .

Degree: 2008, Universidade Federal de Pernambuco

 Máquinas de aprendizagem têm sido aplicadas em diferentes problemas em Bioinformática. Similarmente, algoritmos de descoberta de padrões também têm sido usados para descobrir motifs em… (more)

Subjects/Keywords: Classificação; Proteína; GPCR; SVM; Padrões

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APA (6th Edition):

do Nascimento Júnior, F. (2008). Classificação de Proteínas usando Máquinas de Aprendizagem e Descoberta de Padrões . (Thesis). Universidade Federal de Pernambuco. Retrieved from http://repositorio.ufpe.br/handle/123456789/1596

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):

do Nascimento Júnior, Francisco. “Classificação de Proteínas usando Máquinas de Aprendizagem e Descoberta de Padrões .” 2008. Thesis, Universidade Federal de Pernambuco. Accessed September 20, 2020. http://repositorio.ufpe.br/handle/123456789/1596.

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

MLA Handbook (7th Edition):

do Nascimento Júnior, Francisco. “Classificação de Proteínas usando Máquinas de Aprendizagem e Descoberta de Padrões .” 2008. Web. 20 Sep 2020.

Vancouver:

do Nascimento Júnior F. Classificação de Proteínas usando Máquinas de Aprendizagem e Descoberta de Padrões . [Internet] [Thesis]. Universidade Federal de Pernambuco; 2008. [cited 2020 Sep 20]. Available from: http://repositorio.ufpe.br/handle/123456789/1596.

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

Council of Science Editors:

do Nascimento Júnior F. Classificação de Proteínas usando Máquinas de Aprendizagem e Descoberta de Padrões . [Thesis]. Universidade Federal de Pernambuco; 2008. Available from: http://repositorio.ufpe.br/handle/123456789/1596

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


Brno University of Technology

7. Sýkora, Michal. Automatické označování obrázků: Automatic Image Labelling.

Degree: 2019, Brno University of Technology

 This work focuses on automatic classification of images into semantic classes based on their contentc, especially in using SVM classifiers. The main objective of this… (more)

Subjects/Keywords: zpracování obrazu; strojové učení; SVM; SVM jádra; RBM; SGE; image processing; machine learning; SVM; SVM kernel; RBM; SGE

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

APA (6th Edition):

Sýkora, M. (2019). Automatické označování obrázků: Automatic Image Labelling. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53596

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):

Sýkora, Michal. “Automatické označování obrázků: Automatic Image Labelling.” 2019. Thesis, Brno University of Technology. Accessed September 20, 2020. http://hdl.handle.net/11012/53596.

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

MLA Handbook (7th Edition):

Sýkora, Michal. “Automatické označování obrázků: Automatic Image Labelling.” 2019. Web. 20 Sep 2020.

Vancouver:

Sýkora M. Automatické označování obrázků: Automatic Image Labelling. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11012/53596.

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

Council of Science Editors:

Sýkora M. Automatické označování obrázků: Automatic Image Labelling. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53596

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


Virginia Tech

8. Davis, Joseph M. Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments.

Degree: MS, Electrical Engineering, 2013, Virginia Tech

 Spectral coexistence and cooperative spectrum sharing techniques are vital to the continued development and proliferation of wireless communications systems. Government directives indicate that certain frequency… (more)

Subjects/Keywords: WiMAX; OFDM; Cyclostationary Detection; SVM

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APA (6th Edition):

Davis, J. M. (2013). Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/47105

Chicago Manual of Style (16th Edition):

Davis, Joseph M. “Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments.” 2013. Masters Thesis, Virginia Tech. Accessed September 20, 2020. http://hdl.handle.net/10919/47105.

MLA Handbook (7th Edition):

Davis, Joseph M. “Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments.” 2013. Web. 20 Sep 2020.

Vancouver:

Davis JM. Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10919/47105.

Council of Science Editors:

Davis JM. Second-order Cyclostationary Feature Based Detection of WiMAX Signals in Pulsed Noise Environments. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/47105


University of Debrecen

9. Márton, Roland. Kernelfüggvények hatékonyságának összehasonlítása statisztikai osztályozási feladatokban .

Degree: DE – Informatikai Kar, University of Debrecen

A dolgozatban az SVM et különböző kernelek használatával vizsgáljuk.Az ismertebb kernelek mellett néhány kevésbé ismert magfüggvényt is használunk. Az egyes kerneleket különböző paraméterezéssel ellátva elemezzük a kernelek hatékonyságát.A dolgozat végén pedig ezeket az eredményeket összegezzük, és vizsgáljuk több független adatbázison. Advisors/Committee Members: Kovács, György (advisor).

Subjects/Keywords: kernelfüggvények; SVM

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APA (6th Edition):

Márton, R. (n.d.). Kernelfüggvények hatékonyságának összehasonlítása statisztikai osztályozási feladatokban . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/203068

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Márton, Roland. “Kernelfüggvények hatékonyságának összehasonlítása statisztikai osztályozási feladatokban .” Thesis, University of Debrecen. Accessed September 20, 2020. http://hdl.handle.net/2437/203068.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Márton, Roland. “Kernelfüggvények hatékonyságának összehasonlítása statisztikai osztályozási feladatokban .” Web. 20 Sep 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Márton R. Kernelfüggvények hatékonyságának összehasonlítása statisztikai osztályozási feladatokban . [Internet] [Thesis]. University of Debrecen; [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2437/203068.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Márton R. Kernelfüggvények hatékonyságának összehasonlítása statisztikai osztályozási feladatokban . [Thesis]. University of Debrecen; Available from: http://hdl.handle.net/2437/203068

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


University of Ghana

10. Essel, J.K. Head Tilt Classification Using FFT-PCA/SVM Algorithm .

Degree: 2018, University of Ghana

 The complexity of a face’s components originates from the constant variations in the facial component that occur with respect to time. Notwithstanding these variations, humans… (more)

Subjects/Keywords: Algorithm; FFT-PCA/SVM

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APA (6th Edition):

Essel, J. K. (2018). Head Tilt Classification Using FFT-PCA/SVM Algorithm . (Masters Thesis). University of Ghana. Retrieved from http://ugspace.ug.edu.gh/handle/123456789/30025

Chicago Manual of Style (16th Edition):

Essel, J K. “Head Tilt Classification Using FFT-PCA/SVM Algorithm .” 2018. Masters Thesis, University of Ghana. Accessed September 20, 2020. http://ugspace.ug.edu.gh/handle/123456789/30025.

MLA Handbook (7th Edition):

Essel, J K. “Head Tilt Classification Using FFT-PCA/SVM Algorithm .” 2018. Web. 20 Sep 2020.

Vancouver:

Essel JK. Head Tilt Classification Using FFT-PCA/SVM Algorithm . [Internet] [Masters thesis]. University of Ghana; 2018. [cited 2020 Sep 20]. Available from: http://ugspace.ug.edu.gh/handle/123456789/30025.

Council of Science Editors:

Essel JK. Head Tilt Classification Using FFT-PCA/SVM Algorithm . [Masters Thesis]. University of Ghana; 2018. Available from: http://ugspace.ug.edu.gh/handle/123456789/30025


Brunel University

11. Caruana, Godwin. MapReduce based RDF assisted distributed SVM for high throughput spam filtering.

Degree: PhD, 2013, Brunel University

 Electronic mail has become cast and embedded in our everyday lives. Billions of legitimate emails are sent on a daily basis. The widely established underlying… (more)

Subjects/Keywords: 005.8; Distributed SVM; High througput

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APA (6th Edition):

Caruana, G. (2013). MapReduce based RDF assisted distributed SVM for high throughput spam filtering. (Doctoral Dissertation). Brunel University. Retrieved from http://bura.brunel.ac.uk/handle/2438/7572 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575673

Chicago Manual of Style (16th Edition):

Caruana, Godwin. “MapReduce based RDF assisted distributed SVM for high throughput spam filtering.” 2013. Doctoral Dissertation, Brunel University. Accessed September 20, 2020. http://bura.brunel.ac.uk/handle/2438/7572 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575673.

MLA Handbook (7th Edition):

Caruana, Godwin. “MapReduce based RDF assisted distributed SVM for high throughput spam filtering.” 2013. Web. 20 Sep 2020.

Vancouver:

Caruana G. MapReduce based RDF assisted distributed SVM for high throughput spam filtering. [Internet] [Doctoral dissertation]. Brunel University; 2013. [cited 2020 Sep 20]. Available from: http://bura.brunel.ac.uk/handle/2438/7572 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575673.

Council of Science Editors:

Caruana G. MapReduce based RDF assisted distributed SVM for high throughput spam filtering. [Doctoral Dissertation]. Brunel University; 2013. Available from: http://bura.brunel.ac.uk/handle/2438/7572 ; http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.575673

12. Komžík Josef. Využití jádrových funkcí při klasifikaci .

Degree: 2014, Czech University of Technology

 Tato práce se zabývá klasifikací dat s využitím jádrových funkcí. Ke klasifikaci budou použity tři základní typy jádrových funkcí, tedy lineární, polynomiální a RBF. Jedním… (more)

Subjects/Keywords: klasifikace; jádrové funkce; SVM; MATLAB

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APA (6th Edition):

Josef, K. (2014). Využití jádrových funkcí při klasifikaci . (Thesis). Czech University of Technology. Retrieved from http://hdl.handle.net/10467/58876

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):

Josef, Komžík. “Využití jádrových funkcí při klasifikaci .” 2014. Thesis, Czech University of Technology. Accessed September 20, 2020. http://hdl.handle.net/10467/58876.

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

MLA Handbook (7th Edition):

Josef, Komžík. “Využití jádrových funkcí při klasifikaci .” 2014. Web. 20 Sep 2020.

Vancouver:

Josef K. Využití jádrových funkcí při klasifikaci . [Internet] [Thesis]. Czech University of Technology; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10467/58876.

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

Council of Science Editors:

Josef K. Využití jádrových funkcí při klasifikaci . [Thesis]. Czech University of Technology; 2014. Available from: http://hdl.handle.net/10467/58876

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


University of Canterbury

13. Acharya, Parash. Small Scale Maximum Power Point Tracking Power Converter for Developing Country Application.

Degree: M. Eng., Electrical Engineering, 2013, University of Canterbury

 This thesis begins with providing a basic introduction of electricity requirements for small developing country communities serviced by small scale generating units (focussing mainly on… (more)

Subjects/Keywords: MPPT; PMSG; DPC-SVM; UPF.

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APA (6th Edition):

Acharya, P. (2013). Small Scale Maximum Power Point Tracking Power Converter for Developing Country Application. (Masters Thesis). University of Canterbury. Retrieved from http://dx.doi.org/10.26021/3380

Chicago Manual of Style (16th Edition):

Acharya, Parash. “Small Scale Maximum Power Point Tracking Power Converter for Developing Country Application.” 2013. Masters Thesis, University of Canterbury. Accessed September 20, 2020. http://dx.doi.org/10.26021/3380.

MLA Handbook (7th Edition):

Acharya, Parash. “Small Scale Maximum Power Point Tracking Power Converter for Developing Country Application.” 2013. Web. 20 Sep 2020.

Vancouver:

Acharya P. Small Scale Maximum Power Point Tracking Power Converter for Developing Country Application. [Internet] [Masters thesis]. University of Canterbury; 2013. [cited 2020 Sep 20]. Available from: http://dx.doi.org/10.26021/3380.

Council of Science Editors:

Acharya P. Small Scale Maximum Power Point Tracking Power Converter for Developing Country Application. [Masters Thesis]. University of Canterbury; 2013. Available from: http://dx.doi.org/10.26021/3380


University of Georgia

14. Tan, Xiaoyan. Analysis of toxcast phase ii data-predicting in vivo toxicities from in vitro data using optimal models.

Degree: 2018, University of Georgia

 Considering traditional animal-based testing approaches are expensive and time-consuming, the application of in vitro testing to predict patterns of toxicity was highlighted, ToxCast program was… (more)

Subjects/Keywords: ToxCast; SVM; logistic regression; CART

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APA (6th Edition):

Tan, X. (2018). Analysis of toxcast phase ii data-predicting in vivo toxicities from in vitro data using optimal models. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/38087

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):

Tan, Xiaoyan. “Analysis of toxcast phase ii data-predicting in vivo toxicities from in vitro data using optimal models.” 2018. Thesis, University of Georgia. Accessed September 20, 2020. http://hdl.handle.net/10724/38087.

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

MLA Handbook (7th Edition):

Tan, Xiaoyan. “Analysis of toxcast phase ii data-predicting in vivo toxicities from in vitro data using optimal models.” 2018. Web. 20 Sep 2020.

Vancouver:

Tan X. Analysis of toxcast phase ii data-predicting in vivo toxicities from in vitro data using optimal models. [Internet] [Thesis]. University of Georgia; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10724/38087.

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

Council of Science Editors:

Tan X. Analysis of toxcast phase ii data-predicting in vivo toxicities from in vitro data using optimal models. [Thesis]. University of Georgia; 2018. Available from: http://hdl.handle.net/10724/38087

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


NSYSU

15. Ke, Yi-syuan. Forecast the M&A targets in IT industry using Support Vector Machine.

Degree: Master, Information Management, 2017, NSYSU

 In this era, companies are able to occupy a place in this vast market, but many companies face the change of market. They will lose… (more)

Subjects/Keywords: M&A; Logistic Regression; Financial data; M&A-SVM model; SVM

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

APA (6th Edition):

Ke, Y. (2017). Forecast the M&A targets in IT industry using Support Vector Machine. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0530117-140725

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):

Ke, Yi-syuan. “Forecast the M&A targets in IT industry using Support Vector Machine.” 2017. Thesis, NSYSU. Accessed September 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0530117-140725.

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

MLA Handbook (7th Edition):

Ke, Yi-syuan. “Forecast the M&A targets in IT industry using Support Vector Machine.” 2017. Web. 20 Sep 2020.

Vancouver:

Ke Y. Forecast the M&A targets in IT industry using Support Vector Machine. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0530117-140725.

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

Council of Science Editors:

Ke Y. Forecast the M&A targets in IT industry using Support Vector Machine. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0530117-140725

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


Brno University of Technology

16. Krontorád, Jan. Implementace algoritmu SVM v FPGA: Implementation of SVM Algorithm in FPGAs.

Degree: 2018, Brno University of Technology

This masters thesis deals with algorithms for learning SVM classifiers on hardware systems and their implementation in FPGA. There are basics about classifiers and learning. Two learning algorithms are introduced SMO algorithm and one hardware-friendly algorithm. Advisors/Committee Members: Fučík, Otto (advisor), Šimek, Václav (referee).

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

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

APA (6th Edition):

Krontorád, J. (2018). Implementace algoritmu SVM v FPGA: Implementation of SVM Algorithm in FPGAs. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53916

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

Chicago Manual of Style (16th Edition):

Krontorád, Jan. “Implementace algoritmu SVM v FPGA: Implementation of SVM Algorithm in FPGAs.” 2018. Thesis, Brno University of Technology. Accessed September 20, 2020. http://hdl.handle.net/11012/53916.

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

MLA Handbook (7th Edition):

Krontorád, Jan. “Implementace algoritmu SVM v FPGA: Implementation of SVM Algorithm in FPGAs.” 2018. Web. 20 Sep 2020.

Vancouver:

Krontorád J. Implementace algoritmu SVM v FPGA: Implementation of SVM Algorithm in FPGAs. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11012/53916.

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

Council of Science Editors:

Krontorád J. Implementace algoritmu SVM v FPGA: Implementation of SVM Algorithm in FPGAs. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/53916

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


University of Minnesota

17. Cai, Feng. Advanced learning approaches based on SVM+ methodology.

Degree: PhD, Electrical Engineering, 2011, University of Minnesota

 Exploiting additional information to improve traditional inductive learning is an active research area in machine learning. In many supervised learning applications, training data contains additional… (more)

Subjects/Keywords: feature selection; multi-task learning; SMO; SVM+; SVM+MTL; Electrical Engineering

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

APA (6th Edition):

Cai, F. (2011). Advanced learning approaches based on SVM+ methodology. (Doctoral Dissertation). University of Minnesota. Retrieved from http://purl.umn.edu/112973

Chicago Manual of Style (16th Edition):

Cai, Feng. “Advanced learning approaches based on SVM+ methodology.” 2011. Doctoral Dissertation, University of Minnesota. Accessed September 20, 2020. http://purl.umn.edu/112973.

MLA Handbook (7th Edition):

Cai, Feng. “Advanced learning approaches based on SVM+ methodology.” 2011. Web. 20 Sep 2020.

Vancouver:

Cai F. Advanced learning approaches based on SVM+ methodology. [Internet] [Doctoral dissertation]. University of Minnesota; 2011. [cited 2020 Sep 20]. Available from: http://purl.umn.edu/112973.

Council of Science Editors:

Cai F. Advanced learning approaches based on SVM+ methodology. [Doctoral Dissertation]. University of Minnesota; 2011. Available from: http://purl.umn.edu/112973


University of Utah

18. Gupta, Shobhit. Detecting and tracking human motion in variance-based radio tomography imaging.

Degree: MS, Computing (School of), 2013, University of Utah

 Currently, few methods exist to accurately model a human motion inside a monitoredarea. Most of the approaches that exist depend on some kind of boolean… (more)

Subjects/Keywords: Blob Detection; OpenCV; Radio sensors; SVM

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

APA (6th Edition):

Gupta, S. (2013). Detecting and tracking human motion in variance-based radio tomography imaging. (Masters Thesis). University of Utah. Retrieved from http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2429/rec/660

Chicago Manual of Style (16th Edition):

Gupta, Shobhit. “Detecting and tracking human motion in variance-based radio tomography imaging.” 2013. Masters Thesis, University of Utah. Accessed September 20, 2020. http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2429/rec/660.

MLA Handbook (7th Edition):

Gupta, Shobhit. “Detecting and tracking human motion in variance-based radio tomography imaging.” 2013. Web. 20 Sep 2020.

Vancouver:

Gupta S. Detecting and tracking human motion in variance-based radio tomography imaging. [Internet] [Masters thesis]. University of Utah; 2013. [cited 2020 Sep 20]. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2429/rec/660.

Council of Science Editors:

Gupta S. Detecting and tracking human motion in variance-based radio tomography imaging. [Masters Thesis]. University of Utah; 2013. Available from: http://content.lib.utah.edu/cdm/singleitem/collection/etd3/id/2429/rec/660


University of Edinburgh

19. Beuls, Katrien M.B. Text Categorization for Intellectual Property: Comparing Balanced Winnow with SVM on Di fferent Document Representations.

Degree: 2009, University of Edinburgh

 This study investigates the effect of training different categorization algorithms on various patent document representations. The automation of knowledge and content management in the intellectual… (more)

Subjects/Keywords: Text categorization; SVM; Winnow; Patent documents

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

APA (6th Edition):

Beuls, K. M. B. (2009). Text Categorization for Intellectual Property: Comparing Balanced Winnow with SVM on Di fferent Document Representations. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/3612

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):

Beuls, Katrien M B. “Text Categorization for Intellectual Property: Comparing Balanced Winnow with SVM on Di fferent Document Representations.” 2009. Thesis, University of Edinburgh. Accessed September 20, 2020. http://hdl.handle.net/1842/3612.

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

MLA Handbook (7th Edition):

Beuls, Katrien M B. “Text Categorization for Intellectual Property: Comparing Balanced Winnow with SVM on Di fferent Document Representations.” 2009. Web. 20 Sep 2020.

Vancouver:

Beuls KMB. Text Categorization for Intellectual Property: Comparing Balanced Winnow with SVM on Di fferent Document Representations. [Internet] [Thesis]. University of Edinburgh; 2009. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1842/3612.

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

Council of Science Editors:

Beuls KMB. Text Categorization for Intellectual Property: Comparing Balanced Winnow with SVM on Di fferent Document Representations. [Thesis]. University of Edinburgh; 2009. Available from: http://hdl.handle.net/1842/3612

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


Penn State University

20. Aslam, Mohamed Nadeem. Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann .

Degree: 2015, Penn State University

 Induction motors have a long history of applications in wide ranging environments and have a proven track record in climate control applications, industrial processes, traction… (more)

Subjects/Keywords: Induction Motor; Fault Diagnosis; SVM; ANN

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

APA (6th Edition):

Aslam, M. N. (2015). Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26689

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):

Aslam, Mohamed Nadeem. “Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann .” 2015. Thesis, Penn State University. Accessed September 20, 2020. https://submit-etda.libraries.psu.edu/catalog/26689.

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

MLA Handbook (7th Edition):

Aslam, Mohamed Nadeem. “Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann .” 2015. Web. 20 Sep 2020.

Vancouver:

Aslam MN. Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann . [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Sep 20]. Available from: https://submit-etda.libraries.psu.edu/catalog/26689.

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

Council of Science Editors:

Aslam MN. Induction Motor Fault Classification Using novel Pca, Svm, And Hybrid Ann . [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26689

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


NSYSU

21. Chen, Yun-Shiuan. he Prediction of the Department Score of the College Entrance Examination in Taiwan.

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

 Prediction systems for College Entrance Examination (CEE) are popular during the graduating season, July every year in Taiwan. These systems give students suggestion according to… (more)

Subjects/Keywords: SVM; SVR; College Entrance Examination; regression; prediction

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

APA (6th Edition):

Chen, Y. (2012). he Prediction of the Department Score of the College Entrance Examination in Taiwan. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-150630

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, Yun-Shiuan. “he Prediction of the Department Score of the College Entrance Examination in Taiwan.” 2012. Thesis, NSYSU. Accessed September 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-150630.

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

MLA Handbook (7th Edition):

Chen, Yun-Shiuan. “he Prediction of the Department Score of the College Entrance Examination in Taiwan.” 2012. Web. 20 Sep 2020.

Vancouver:

Chen Y. he Prediction of the Department Score of the College Entrance Examination in Taiwan. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-150630.

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

Council of Science Editors:

Chen Y. he Prediction of the Department Score of the College Entrance Examination in Taiwan. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-150630

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


NSYSU

22. Chang, Ssu-ying. Brain Image Analysis of Patients with Depression and Non-normal Mixed-Effects Models.

Degree: Master, Applied Mathematics, 2016, NSYSU

 The aim of the first part of this study is to use binding potential (BP) image (and/or other covariates,such as aggression) to differentiate major mental… (more)

Subjects/Keywords: skew t distribution; SVM; ROAD; wavelet; MMD

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

APA (6th Edition):

Chang, S. (2016). Brain Image Analysis of Patients with Depression and Non-normal Mixed-Effects Models. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0019116-212723

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, Ssu-ying. “Brain Image Analysis of Patients with Depression and Non-normal Mixed-Effects Models.” 2016. Thesis, NSYSU. Accessed September 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0019116-212723.

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

MLA Handbook (7th Edition):

Chang, Ssu-ying. “Brain Image Analysis of Patients with Depression and Non-normal Mixed-Effects Models.” 2016. Web. 20 Sep 2020.

Vancouver:

Chang S. Brain Image Analysis of Patients with Depression and Non-normal Mixed-Effects Models. [Internet] [Thesis]. NSYSU; 2016. [cited 2020 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0019116-212723.

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

Council of Science Editors:

Chang S. Brain Image Analysis of Patients with Depression and Non-normal Mixed-Effects Models. [Thesis]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0019116-212723

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


NSYSU

23. Chen, Kai-Yu. All-atom Backbone Prediction with Improved Tool Preference Classification.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

 The all-atom protein backbone reconstruction problem (PBRP) is to reconstruct the 3D coordinates of all atoms, including N, C, and O atoms on the backbone,… (more)

Subjects/Keywords: protein; 3D coordinate; prediction; backbone; SVM

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

APA (6th Edition):

Chen, K. (2011). All-atom Backbone Prediction with Improved Tool Preference Classification. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-133928

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, Kai-Yu. “All-atom Backbone Prediction with Improved Tool Preference Classification.” 2011. Thesis, NSYSU. Accessed September 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-133928.

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

MLA Handbook (7th Edition):

Chen, Kai-Yu. “All-atom Backbone Prediction with Improved Tool Preference Classification.” 2011. Web. 20 Sep 2020.

Vancouver:

Chen K. All-atom Backbone Prediction with Improved Tool Preference Classification. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-133928.

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

Council of Science Editors:

Chen K. All-atom Backbone Prediction with Improved Tool Preference Classification. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-133928

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


NSYSU

24. Wang, Chong-Jie. Disulfide Bond Prediction with Hybrid Models.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

 Disulfide bonds are special covalent cross links between two cysteines in a protein. This kind of bonding state plays an important role in protein folding… (more)

Subjects/Keywords: prediction; SVM; disulfide bond; cysteine; hybrid model

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

APA (6th Edition):

Wang, C. (2011). Disulfide Bond Prediction with Hybrid Models. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-171625

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):

Wang, Chong-Jie. “Disulfide Bond Prediction with Hybrid Models.” 2011. Thesis, NSYSU. Accessed September 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-171625.

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

MLA Handbook (7th Edition):

Wang, Chong-Jie. “Disulfide Bond Prediction with Hybrid Models.” 2011. Web. 20 Sep 2020.

Vancouver:

Wang C. Disulfide Bond Prediction with Hybrid Models. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-171625.

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

Council of Science Editors:

Wang C. Disulfide Bond Prediction with Hybrid Models. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-171625

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


NSYSU

25. Chen, Huei-Yang. Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 The electroencephalography is a common and valuable tool for research and diagnosis, especially when millisecond-range temporal resolution is required. EEG is usually used to diagnose… (more)

Subjects/Keywords: SVM; Frontal Asymmetry; EEG; Detection; Asymmetric Intervals

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APA (6th Edition):

Chen, H. (2017). Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526

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, Huei-Yang. “Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes.” 2017. Thesis, NSYSU. Accessed September 20, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526.

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

MLA Handbook (7th Edition):

Chen, Huei-Yang. “Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes.” 2017. Web. 20 Sep 2020.

Vancouver:

Chen H. Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Sep 20]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526.

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. Automatic Detection of the Asymmetric Intervals of EEG by Using the Correlation Analysis of Amplitudes. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0518117-170526

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

26. 三輪, 誠. SVMによる将棋の詰みの予測とその応用 : Prediction of mates in shogi using SVM and its application.

Degree: 2017, The University of Tokyo / 東京大学

Subjects/Keywords: SVM; 将棋

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APA (6th Edition):

三輪, . (2017). SVMによる将棋の詰みの予測とその応用 : Prediction of mates in shogi using SVM and its application. (Thesis). The University of Tokyo / 東京大学. Retrieved from http://hdl.handle.net/2261/187

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):

三輪, 誠. “SVMによる将棋の詰みの予測とその応用 : Prediction of mates in shogi using SVM and its application.” 2017. Thesis, The University of Tokyo / 東京大学. Accessed September 20, 2020. http://hdl.handle.net/2261/187.

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

MLA Handbook (7th Edition):

三輪, 誠. “SVMによる将棋の詰みの予測とその応用 : Prediction of mates in shogi using SVM and its application.” 2017. Web. 20 Sep 2020.

Vancouver:

三輪 . SVMによる将棋の詰みの予測とその応用 : Prediction of mates in shogi using SVM and its application. [Internet] [Thesis]. The University of Tokyo / 東京大学; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/2261/187.

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

Council of Science Editors:

三輪 . SVMによる将棋の詰みの予測とその応用 : Prediction of mates in shogi using SVM and its application. [Thesis]. The University of Tokyo / 東京大学; 2017. Available from: http://hdl.handle.net/2261/187

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


University of Ottawa

27. Feng, Jingwen. Traffic Sign Detection and Recognition System for Intelligent Vehicles .

Degree: 2014, University of Ottawa

 Road traffic signs provide instructions, warning information, to regulate driver behavior. In addition, these signs provide a reliable guarantee for safe and convenient driving. The… (more)

Subjects/Keywords: Traffic sign detection; HOG+SVM; MSER; GPS

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

APA (6th Edition):

Feng, J. (2014). Traffic Sign Detection and Recognition System for Intelligent Vehicles . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/31449

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):

Feng, Jingwen. “Traffic Sign Detection and Recognition System for Intelligent Vehicles .” 2014. Thesis, University of Ottawa. Accessed September 20, 2020. http://hdl.handle.net/10393/31449.

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

MLA Handbook (7th Edition):

Feng, Jingwen. “Traffic Sign Detection and Recognition System for Intelligent Vehicles .” 2014. Web. 20 Sep 2020.

Vancouver:

Feng J. Traffic Sign Detection and Recognition System for Intelligent Vehicles . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10393/31449.

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

Council of Science Editors:

Feng J. Traffic Sign Detection and Recognition System for Intelligent Vehicles . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/31449

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


AUT University

28. Lei, Song. Informative correlation extraction from and for Forex market analysis .

Degree: 2010, AUT University

 The forex market is a complex, evolving, and a non-linear dynamical system, and its forecast is difficult due to high data intensity, noise/outliers, unstructured data… (more)

Subjects/Keywords: Correlation extraction; Forex market analysis; SVM regression

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

APA (6th Edition):

Lei, S. (2010). Informative correlation extraction from and for Forex market analysis . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/899

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):

Lei, Song. “Informative correlation extraction from and for Forex market analysis .” 2010. Thesis, AUT University. Accessed September 20, 2020. http://hdl.handle.net/10292/899.

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

MLA Handbook (7th Edition):

Lei, Song. “Informative correlation extraction from and for Forex market analysis .” 2010. Web. 20 Sep 2020.

Vancouver:

Lei S. Informative correlation extraction from and for Forex market analysis . [Internet] [Thesis]. AUT University; 2010. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10292/899.

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

Council of Science Editors:

Lei S. Informative correlation extraction from and for Forex market analysis . [Thesis]. AUT University; 2010. Available from: http://hdl.handle.net/10292/899

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


AUT University

29. Gunasekara, Nuwan Amila. Meta learning on string kernel SVMs for string categorization .

Degree: 2010, AUT University

 Even though Support Vector Machines (SVMs) are capable of identifying patterns in high dimensional spaces that are presented by kernels without a computational decrease, their… (more)

Subjects/Keywords: String Kernel Optimization; SVM; String Kernel

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

APA (6th Edition):

Gunasekara, N. A. (2010). Meta learning on string kernel SVMs for string categorization . (Thesis). AUT University. Retrieved from http://hdl.handle.net/10292/1087

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):

Gunasekara, Nuwan Amila. “Meta learning on string kernel SVMs for string categorization .” 2010. Thesis, AUT University. Accessed September 20, 2020. http://hdl.handle.net/10292/1087.

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

MLA Handbook (7th Edition):

Gunasekara, Nuwan Amila. “Meta learning on string kernel SVMs for string categorization .” 2010. Web. 20 Sep 2020.

Vancouver:

Gunasekara NA. Meta learning on string kernel SVMs for string categorization . [Internet] [Thesis]. AUT University; 2010. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10292/1087.

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

Council of Science Editors:

Gunasekara NA. Meta learning on string kernel SVMs for string categorization . [Thesis]. AUT University; 2010. Available from: http://hdl.handle.net/10292/1087

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

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

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

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

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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Sandsveden, Daniel. “Evaluation of Random Forests for Detection and Localization of Cattle Eyes.” 2015. Thesis, Linköping UniversityLinköping University. Accessed September 20, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121540.

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

MLA Handbook (7th Edition):

Sandsveden, Daniel. “Evaluation of Random Forests for Detection and Localization of Cattle Eyes.” 2015. Web. 20 Sep 2020.

Vancouver:

Sandsveden D. Evaluation of Random Forests for Detection and Localization of Cattle Eyes. [Internet] [Thesis]. Linköping UniversityLinköping University; 2015. [cited 2020 Sep 20]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-121540.

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

Council of Science Editors:

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

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

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