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You searched for subject:(Support Vector Machine SVM ). Showing records 1 – 30 of 24862 total matches.

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University of South Carolina

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

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

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

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

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Kirmani, Fawad. “Exploring Machine Learning Techniques To Improve Peptide Identification.” 2018. Thesis, University of South Carolina. Accessed May 26, 2019. https://scholarcommons.sc.edu/etd/5001.

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

MLA Handbook (7th Edition):

Kirmani, Fawad. “Exploring Machine Learning Techniques To Improve Peptide Identification.” 2018. Web. 26 May 2019.

Vancouver:

Kirmani F. Exploring Machine Learning Techniques To Improve Peptide Identification. [Internet] [Thesis]. University of South Carolina; 2018. [cited 2019 May 26]. Available from: https://scholarcommons.sc.edu/etd/5001.

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

Council of Science Editors:

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

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


University of Edinburgh

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

Degree: PhD, 2016, University of Edinburgh

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Zarogianni, Eleni. “Machine learning and brain imaging in psychosis.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed May 26, 2019. http://hdl.handle.net/1842/22814.

MLA Handbook (7th Edition):

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

Vancouver:

Zarogianni E. Machine learning and brain imaging in psychosis. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2019 May 26]. Available from: http://hdl.handle.net/1842/22814.

Council of Science Editors:

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


University of Saskatchewan

3. sainju, sonu. REGION-COLOR BASED AUTOMATED BLEEDING DETECTION IN CAPSULE ENDOSCOPY VIDEOS.

Degree: 2014, University of Saskatchewan

 Capsule Endoscopy (CE) is a unique technique for facilitating non-invasive and practical visualization of the entire small intestine. It has attracted a critical mass of… (more)

Subjects/Keywords: Capsule Endoscopy; Support Vector Machine (SVM); feature selection; probability histogram; quantization

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APA (6th Edition):

sainju, s. (2014). REGION-COLOR BASED AUTOMATED BLEEDING DETECTION IN CAPSULE ENDOSCOPY VIDEOS. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/ETD-2014-06-1572

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):

sainju, sonu. “REGION-COLOR BASED AUTOMATED BLEEDING DETECTION IN CAPSULE ENDOSCOPY VIDEOS.” 2014. Thesis, University of Saskatchewan. Accessed May 26, 2019. http://hdl.handle.net/10388/ETD-2014-06-1572.

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

MLA Handbook (7th Edition):

sainju, sonu. “REGION-COLOR BASED AUTOMATED BLEEDING DETECTION IN CAPSULE ENDOSCOPY VIDEOS.” 2014. Web. 26 May 2019.

Vancouver:

sainju s. REGION-COLOR BASED AUTOMATED BLEEDING DETECTION IN CAPSULE ENDOSCOPY VIDEOS. [Internet] [Thesis]. University of Saskatchewan; 2014. [cited 2019 May 26]. Available from: http://hdl.handle.net/10388/ETD-2014-06-1572.

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

Council of Science Editors:

sainju s. REGION-COLOR BASED AUTOMATED BLEEDING DETECTION IN CAPSULE ENDOSCOPY VIDEOS. [Thesis]. University of Saskatchewan; 2014. Available from: http://hdl.handle.net/10388/ETD-2014-06-1572

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


Utah State University

4. Dinerstein, Jared. Learning-Based Fusion for Data Deduplication: A Robust and Automated Solution.

Degree: MS, Computer Science, 2010, Utah State University

 This thesis presents two deduplication techniques that overcome the following critical and long-standing weaknesses of rule-based deduplication: (1) traditional rule-based deduplication requires significant manual tuning… (more)

Subjects/Keywords: active learning; deduplication; sensitivity; specificity; support vector machine; svm; Computer Sciences

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APA (6th Edition):

Dinerstein, J. (2010). Learning-Based Fusion for Data Deduplication: A Robust and Automated Solution. (Masters Thesis). Utah State University. Retrieved from https://digitalcommons.usu.edu/etd/787

Chicago Manual of Style (16th Edition):

Dinerstein, Jared. “Learning-Based Fusion for Data Deduplication: A Robust and Automated Solution.” 2010. Masters Thesis, Utah State University. Accessed May 26, 2019. https://digitalcommons.usu.edu/etd/787.

MLA Handbook (7th Edition):

Dinerstein, Jared. “Learning-Based Fusion for Data Deduplication: A Robust and Automated Solution.” 2010. Web. 26 May 2019.

Vancouver:

Dinerstein J. Learning-Based Fusion for Data Deduplication: A Robust and Automated Solution. [Internet] [Masters thesis]. Utah State University; 2010. [cited 2019 May 26]. Available from: https://digitalcommons.usu.edu/etd/787.

Council of Science Editors:

Dinerstein J. Learning-Based Fusion for Data Deduplication: A Robust and Automated Solution. [Masters Thesis]. Utah State University; 2010. Available from: https://digitalcommons.usu.edu/etd/787


Indian Institute of Science

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

Degree: 2007, Indian Institute of Science

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

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

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APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Asharaf, S. “Efficient Kernel Methods For Large Scale Classification.” 2007. Thesis, Indian Institute of Science. Accessed May 26, 2019. http://hdl.handle.net/2005/1076.

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

MLA Handbook (7th Edition):

Asharaf, S. “Efficient Kernel Methods For Large Scale Classification.” 2007. Web. 26 May 2019.

Vancouver:

Asharaf S. Efficient Kernel Methods For Large Scale Classification. [Internet] [Thesis]. Indian Institute of Science; 2007. [cited 2019 May 26]. Available from: http://hdl.handle.net/2005/1076.

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

Council of Science Editors:

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

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


Université de Lorraine

6. Bonidal, Rémi. Sélection de modèle par chemin de régularisation pour les machines à vecteurs support à coût quadratique : Model selection using regularization path for quadratic cost support vector machines.

Degree: Docteur es, Informatique, 2013, Université de Lorraine

La sélection de modèle est un thème majeur de l'apprentissage statistique. Dans ce manuscrit, nous introduisons des méthodes de sélection de modèle dédiées à des… (more)

Subjects/Keywords: Apprentissage; Discrimination; Machine à vecteurs support (SVM); Machine à vecteurs support multi-classe (M-SVM); Sélection de modèle; Chemin de régularisation; Machine learning; Classification; Support Vector Machine (SVM); Multi-category Support Vector Machine (M-SVM); Model selection; Regularization path; 006.31

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APA (6th Edition):

Bonidal, R. (2013). Sélection de modèle par chemin de régularisation pour les machines à vecteurs support à coût quadratique : Model selection using regularization path for quadratic cost support vector machines. (Doctoral Dissertation). Université de Lorraine. Retrieved from http://www.theses.fr/2013LORR0066

Chicago Manual of Style (16th Edition):

Bonidal, Rémi. “Sélection de modèle par chemin de régularisation pour les machines à vecteurs support à coût quadratique : Model selection using regularization path for quadratic cost support vector machines.” 2013. Doctoral Dissertation, Université de Lorraine. Accessed May 26, 2019. http://www.theses.fr/2013LORR0066.

MLA Handbook (7th Edition):

Bonidal, Rémi. “Sélection de modèle par chemin de régularisation pour les machines à vecteurs support à coût quadratique : Model selection using regularization path for quadratic cost support vector machines.” 2013. Web. 26 May 2019.

Vancouver:

Bonidal R. Sélection de modèle par chemin de régularisation pour les machines à vecteurs support à coût quadratique : Model selection using regularization path for quadratic cost support vector machines. [Internet] [Doctoral dissertation]. Université de Lorraine; 2013. [cited 2019 May 26]. Available from: http://www.theses.fr/2013LORR0066.

Council of Science Editors:

Bonidal R. Sélection de modèle par chemin de régularisation pour les machines à vecteurs support à coût quadratique : Model selection using regularization path for quadratic cost support vector machines. [Doctoral Dissertation]. Université de Lorraine; 2013. Available from: http://www.theses.fr/2013LORR0066


KTH

7. Lau, Cidney. Support Vector Machine Algorithm applied to Industrial Robot Error Recovery.

Degree: Computer Science and Communication (CSC), 2015, KTH

A Machine Learning approach for error recovery in an industrial robot for the plastic mold industry isproposed in this master thesis project. The goal… (more)

Subjects/Keywords: Support Vector Machine; SVM; Machine Learning; industrial robot; robot; error recovery; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Lau, C. (2015). Support Vector Machine Algorithm applied to Industrial Robot Error Recovery. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331

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):

Lau, Cidney. “Support Vector Machine Algorithm applied to Industrial Robot Error Recovery.” 2015. Thesis, KTH. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331.

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

MLA Handbook (7th Edition):

Lau, Cidney. “Support Vector Machine Algorithm applied to Industrial Robot Error Recovery.” 2015. Web. 26 May 2019.

Vancouver:

Lau C. Support Vector Machine Algorithm applied to Industrial Robot Error Recovery. [Internet] [Thesis]. KTH; 2015. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331.

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

Council of Science Editors:

Lau C. Support Vector Machine Algorithm applied to Industrial Robot Error Recovery. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-172331

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


NSYSU

8. Yeh, Kuan-Fu. Software and Hardware Designs of a Vehicle Detection System Based on Single Camera Image Sequence.

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

 In this thesis, we present a vehicle detection and tracking system based on image processing and pattern recognition of single camera image sequences. Both software… (more)

Subjects/Keywords: Machine Learning; Vehicle Detection; Pattern Recognition; Image Processing; Driving Assistance System; Support Vector Machine (SVM)

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APA (6th Edition):

Yeh, K. (2012). Software and Hardware Designs of a Vehicle Detection System Based on Single Camera Image Sequence. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0910112-140351

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):

Yeh, Kuan-Fu. “Software and Hardware Designs of a Vehicle Detection System Based on Single Camera Image Sequence.” 2012. Thesis, NSYSU. Accessed May 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0910112-140351.

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

MLA Handbook (7th Edition):

Yeh, Kuan-Fu. “Software and Hardware Designs of a Vehicle Detection System Based on Single Camera Image Sequence.” 2012. Web. 26 May 2019.

Vancouver:

Yeh K. Software and Hardware Designs of a Vehicle Detection System Based on Single Camera Image Sequence. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 May 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0910112-140351.

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

Council of Science Editors:

Yeh K. Software and Hardware Designs of a Vehicle Detection System Based on Single Camera Image Sequence. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0910112-140351

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


Ohio University

9. Plis, Kevin A. The Effects of Novel Feature Vectors on Metagenomic Classification.

Degree: MS, Computer Science (Engineering and Technology), 2014, Ohio University

 Metagenomics plays a crucial role in our understanding of the world around us. Machine learning and bioinformatics methods have struggled to accurately identify the organisms… (more)

Subjects/Keywords: Computer Science; Bioinformatics; Artificial Intelligence; Metagenomics; Classification; Machine Learning; SVM; Support Vector Machine; Feature Vector; Feature Selection; Bioinformatics

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APA (6th Edition):

Plis, K. A. (2014). The Effects of Novel Feature Vectors on Metagenomic Classification. (Masters Thesis). Ohio University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1399578867

Chicago Manual of Style (16th Edition):

Plis, Kevin A. “The Effects of Novel Feature Vectors on Metagenomic Classification.” 2014. Masters Thesis, Ohio University. Accessed May 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1399578867.

MLA Handbook (7th Edition):

Plis, Kevin A. “The Effects of Novel Feature Vectors on Metagenomic Classification.” 2014. Web. 26 May 2019.

Vancouver:

Plis KA. The Effects of Novel Feature Vectors on Metagenomic Classification. [Internet] [Masters thesis]. Ohio University; 2014. [cited 2019 May 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1399578867.

Council of Science Editors:

Plis KA. The Effects of Novel Feature Vectors on Metagenomic Classification. [Masters Thesis]. Ohio University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ohiou1399578867

10. Alana Almeida de Souza. Estudo de fitofisionomias de Cerrado com dados do sensor Hyperion-EO-1.

Degree: 2009, Instituto Nacional de Pesquisas Espaciais

The study of the Brazilian savanna physiognomies (Cerrado) using remote sensing data is still a challenge due to floristic and structural diversity, variation in phenological… (more)

Subjects/Keywords: Cerrado; Hyperion/EO-1; Sensoriamento remoto hiperespectral; Support; Vector machine (SVM); Brazilian savannah; Hyperion/EO-1; Hyperspectral remote sensing; Support vector machine (SVM)

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APA (6th Edition):

Souza, A. A. d. (2009). Estudo de fitofisionomias de Cerrado com dados do sensor Hyperion-EO-1. (Thesis). Instituto Nacional de Pesquisas Espaciais. Retrieved from http://urlib.net/sid.inpe.br/[email protected]/2009/03.24.13.43

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):

Souza, Alana Almeida de. “Estudo de fitofisionomias de Cerrado com dados do sensor Hyperion-EO-1.” 2009. Thesis, Instituto Nacional de Pesquisas Espaciais. Accessed May 26, 2019. http://urlib.net/sid.inpe.br/[email protected]/2009/03.24.13.43.

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

MLA Handbook (7th Edition):

Souza, Alana Almeida de. “Estudo de fitofisionomias de Cerrado com dados do sensor Hyperion-EO-1.” 2009. Web. 26 May 2019.

Vancouver:

Souza AAd. Estudo de fitofisionomias de Cerrado com dados do sensor Hyperion-EO-1. [Internet] [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2009. [cited 2019 May 26]. Available from: http://urlib.net/sid.inpe.br/[email protected]/2009/03.24.13.43.

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

Council of Science Editors:

Souza AAd. Estudo de fitofisionomias de Cerrado com dados do sensor Hyperion-EO-1. [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2009. Available from: http://urlib.net/sid.inpe.br/[email protected]/2009/03.24.13.43

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


Brno University of Technology

11. Juřica, Dalibor. Rozpoznávání textu v obraze .

Degree: 2010, Brno University of Technology

 Tento dokument projednává oblast počítačového vidění s tématikou schopnosti vidění textu v obraze. Pro vyhledání textových oblastí je za pomocí předzpracování waveletovou transformací vypočtena energie… (more)

Subjects/Keywords: Detekce textu; zpracování obrazu; waveletová transformace; support vector machine; svm; vlastnosti textur; Text detection; image processing; wavelet transform; support vector machine; svm; texture features

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APA (6th Edition):

Juřica, D. (2010). Rozpoznávání textu v obraze . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/54336

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):

Juřica, Dalibor. “Rozpoznávání textu v obraze .” 2010. Thesis, Brno University of Technology. Accessed May 26, 2019. http://hdl.handle.net/11012/54336.

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

MLA Handbook (7th Edition):

Juřica, Dalibor. “Rozpoznávání textu v obraze .” 2010. Web. 26 May 2019.

Vancouver:

Juřica D. Rozpoznávání textu v obraze . [Internet] [Thesis]. Brno University of Technology; 2010. [cited 2019 May 26]. Available from: http://hdl.handle.net/11012/54336.

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

Council of Science Editors:

Juřica D. Rozpoznávání textu v obraze . [Thesis]. Brno University of Technology; 2010. Available from: http://hdl.handle.net/11012/54336

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


Brno University of Technology

12. Truhlář, Martin. Biologicky inspirované metody rozpoznávání objektů .

Degree: 2011, Brno University of Technology

 V tomto dokumentu je vysvětlena metoda pro biologicky inspirované rozpoznávání obrazů. Dále v práci jsou objasněny postupy zpracování obrazů a jednotlivé fáze extrakce informací pro… (more)

Subjects/Keywords: Rozpoznání vzorů; SVM; Klasifikace; Biologicky inspirované metody rozpoznávání; Support Vector Machine; Pattern recognization; SVM; clasification; Support Vector Machine; the method for biologically inspired recognition

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APA (6th Edition):

Truhlář, M. (2011). Biologicky inspirované metody rozpoznávání objektů . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/52978

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):

Truhlář, Martin. “Biologicky inspirované metody rozpoznávání objektů .” 2011. Thesis, Brno University of Technology. Accessed May 26, 2019. http://hdl.handle.net/11012/52978.

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

MLA Handbook (7th Edition):

Truhlář, Martin. “Biologicky inspirované metody rozpoznávání objektů .” 2011. Web. 26 May 2019.

Vancouver:

Truhlář M. Biologicky inspirované metody rozpoznávání objektů . [Internet] [Thesis]. Brno University of Technology; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/11012/52978.

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

Council of Science Editors:

Truhlář M. Biologicky inspirované metody rozpoznávání objektů . [Thesis]. Brno University of Technology; 2011. Available from: http://hdl.handle.net/11012/52978

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


Brno University of Technology

13. Šalamoun, Jan. Klasifikace signálů denní aktivity nasnímaných zařízením Faros .

Degree: 2018, Brno University of Technology

 Téma této diplomové práce je klasifikace signálů denní aktivity nasnímaných pomocí zařízení Faros. Zařízení Faros je malé kompatibilní zařízení spojující elektrokardiogram a tříosý akcelerometr. První… (more)

Subjects/Keywords: Denní aktivita; fyzická aktivita; EKG; akcelerometr; Faros; neuronová sít; support vector machine; SVM.; Free living; physical activity; ECG; accelerometer; Faros; neural network; support vector machine; SVM.

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

APA (6th Edition):

Šalamoun, J. (2018). Klasifikace signálů denní aktivity nasnímaných zařízením Faros . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/82052

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):

Šalamoun, Jan. “Klasifikace signálů denní aktivity nasnímaných zařízením Faros .” 2018. Thesis, Brno University of Technology. Accessed May 26, 2019. http://hdl.handle.net/11012/82052.

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

MLA Handbook (7th Edition):

Šalamoun, Jan. “Klasifikace signálů denní aktivity nasnímaných zařízením Faros .” 2018. Web. 26 May 2019.

Vancouver:

Šalamoun J. Klasifikace signálů denní aktivity nasnímaných zařízením Faros . [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2019 May 26]. Available from: http://hdl.handle.net/11012/82052.

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

Council of Science Editors:

Šalamoun J. Klasifikace signálů denní aktivity nasnímaných zařízením Faros . [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/82052

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


Universidade do Rio Grande do Norte

14. Carvalho, Jhonnata Bezerra de. Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG .

Degree: 2016, Universidade do Rio Grande do Norte

 The classifier support vector machine is used in several problems in various areas of knowledge. Basically the method used in this classier is to end… (more)

Subjects/Keywords: Classificador binário; Eletroencefalografia; Eletromiografia; Periodograma; Análise de componentes principais; Suavização; Support vector machine; SVM

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

APA (6th Edition):

Carvalho, J. B. d. (2016). Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG . (Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/20964

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):

Carvalho, Jhonnata Bezerra de. “Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG .” 2016. Thesis, Universidade do Rio Grande do Norte. Accessed May 26, 2019. http://repositorio.ufrn.br/handle/123456789/20964.

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

MLA Handbook (7th Edition):

Carvalho, Jhonnata Bezerra de. “Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG .” 2016. Web. 26 May 2019.

Vancouver:

Carvalho JBd. Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG . [Internet] [Thesis]. Universidade do Rio Grande do Norte; 2016. [cited 2019 May 26]. Available from: http://repositorio.ufrn.br/handle/123456789/20964.

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

Council of Science Editors:

Carvalho JBd. Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG . [Thesis]. Universidade do Rio Grande do Norte; 2016. Available from: http://repositorio.ufrn.br/handle/123456789/20964

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


NSYSU

15. Lai , Jyun-Hao. Ensemble Learning for Text Classiï¬cation.

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

 The text classification (text categorization, document classification, or document categorization) problem is to assign a given document to one of the predefined classes. The problem… (more)

Subjects/Keywords: support vector machine (SVM); ensemble learning; behavior knowledge space (BKS); Chinese text classification; feature generation

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

APA (6th Edition):

Lai , J. (2017). Ensemble Learning for Text Classiï¬cation. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802117-142741

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):

Lai , Jyun-Hao. “Ensemble Learning for Text Classiï¬cation.” 2017. Thesis, NSYSU. Accessed May 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802117-142741.

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

MLA Handbook (7th Edition):

Lai , Jyun-Hao. “Ensemble Learning for Text Classiï¬cation.” 2017. Web. 26 May 2019.

Vancouver:

Lai J. Ensemble Learning for Text Classiï¬cation. [Internet] [Thesis]. NSYSU; 2017. [cited 2019 May 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802117-142741.

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

Council of Science Editors:

Lai J. Ensemble Learning for Text Classiï¬cation. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0802117-142741

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


Universidade do Rio Grande do Norte

16. Carvalho, Jhonnata Bezerra de. Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG .

Degree: 2016, Universidade do Rio Grande do Norte

 The classifier support vector machine is used in several problems in various areas of knowledge. Basically the method used in this classier is to end… (more)

Subjects/Keywords: Classificador binário; Eletroencefalografia; Eletromiografia; Periodograma; Análise de componentes principais; Suavização; Support vector machine; SVM

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

APA (6th Edition):

Carvalho, J. B. d. (2016). Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG . (Masters Thesis). Universidade do Rio Grande do Norte. Retrieved from http://repositorio.ufrn.br/handle/123456789/20964

Chicago Manual of Style (16th Edition):

Carvalho, Jhonnata Bezerra de. “Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG .” 2016. Masters Thesis, Universidade do Rio Grande do Norte. Accessed May 26, 2019. http://repositorio.ufrn.br/handle/123456789/20964.

MLA Handbook (7th Edition):

Carvalho, Jhonnata Bezerra de. “Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG .” 2016. Web. 26 May 2019.

Vancouver:

Carvalho JBd. Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG . [Internet] [Masters thesis]. Universidade do Rio Grande do Norte; 2016. [cited 2019 May 26]. Available from: http://repositorio.ufrn.br/handle/123456789/20964.

Council of Science Editors:

Carvalho JBd. Classificador máquina de suporte vetorial com análise de Fourier aplicada em dados de EEG e EMG . [Masters Thesis]. Universidade do Rio Grande do Norte; 2016. Available from: http://repositorio.ufrn.br/handle/123456789/20964


KTH

17. Huss, Jakob. Cross Site Product Page Classification with Supervised Machine Learning.

Degree: Computer Science and Communication (CSC), 2016, KTH

  This work outlines a possible technique for identifying webpages that contain product  specifications. Using support vector machines a product web page classifier was constructed… (more)

Subjects/Keywords: svm support vector machine product page classification; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Huss, J. (2016). Cross Site Product Page Classification with Supervised Machine Learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555

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):

Huss, Jakob. “Cross Site Product Page Classification with Supervised Machine Learning.” 2016. Thesis, KTH. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555.

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

MLA Handbook (7th Edition):

Huss, Jakob. “Cross Site Product Page Classification with Supervised Machine Learning.” 2016. Web. 26 May 2019.

Vancouver:

Huss J. Cross Site Product Page Classification with Supervised Machine Learning. [Internet] [Thesis]. KTH; 2016. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555.

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

Council of Science Editors:

Huss J. Cross Site Product Page Classification with Supervised Machine Learning. [Thesis]. KTH; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-189555

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


University of Toledo

18. Mogireddy, Kranthi Kumar Reddy. Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing.

Degree: MSin Electrical Engineering, Electrical Engineering, 2011, University of Toledo

 A detailed knowledge of particulates released during combustion is vital for managing an air quality program. Comprehending the chemical and physical characteristics of particulates is… (more)

Subjects/Keywords: Computer Engineering; Electrical Engineering; Particulate Matter; Image Processing; Support Vector Machine; SVM

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

APA (6th Edition):

Mogireddy, K. K. R. (2011). Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing. (Masters Thesis). University of Toledo. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=toledo1297358759

Chicago Manual of Style (16th Edition):

Mogireddy, Kranthi Kumar Reddy. “Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing.” 2011. Masters Thesis, University of Toledo. Accessed May 26, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=toledo1297358759.

MLA Handbook (7th Edition):

Mogireddy, Kranthi Kumar Reddy. “Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing.” 2011. Web. 26 May 2019.

Vancouver:

Mogireddy KKR. Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing. [Internet] [Masters thesis]. University of Toledo; 2011. [cited 2019 May 26]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1297358759.

Council of Science Editors:

Mogireddy KKR. Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing. [Masters Thesis]. University of Toledo; 2011. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=toledo1297358759


NSYSU

19. Chen, Wei-Yu. Forward-Selection-Based Feature Selection for Genre Analysis and Recognition of Popular Music.

Degree: Master, Electrical Engineering, 2012, NSYSU

 In this thesis, a popular music genre recognition approach for Japanese popular music using SVM (support vector machine) with forward feature selection is proposed. First,… (more)

Subjects/Keywords: RBF (radial basis function); SVM (support vector machine); forward selection; Genre recognition; feature selection

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

APA (6th Edition):

Chen, W. (2012). Forward-Selection-Based Feature Selection for Genre Analysis and Recognition of Popular Music. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0909112-110138

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, Wei-Yu. “Forward-Selection-Based Feature Selection for Genre Analysis and Recognition of Popular Music.” 2012. Thesis, NSYSU. Accessed May 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0909112-110138.

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

MLA Handbook (7th Edition):

Chen, Wei-Yu. “Forward-Selection-Based Feature Selection for Genre Analysis and Recognition of Popular Music.” 2012. Web. 26 May 2019.

Vancouver:

Chen W. Forward-Selection-Based Feature Selection for Genre Analysis and Recognition of Popular Music. [Internet] [Thesis]. NSYSU; 2012. [cited 2019 May 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0909112-110138.

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

Council of Science Editors:

Chen W. Forward-Selection-Based Feature Selection for Genre Analysis and Recognition of Popular Music. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0909112-110138

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


KTH

20. Carlsson, Tor. Individualized Motion Monitoring by Wearable Sensor : Pre-impact fall detection using SVM and sensor fusion.

Degree: Technology and Health (STH), 2015, KTH

Among the elderly, falling represents a major threat to the individual health, and is considered as a major source of morbidity and mortality. In… (more)

Subjects/Keywords: support vector machine (SVM); pre-impact fall detection; elderly; accelerometer; gyroscope; MEMS

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

APA (6th Edition):

Carlsson, T. (2015). Individualized Motion Monitoring by Wearable Sensor : Pre-impact fall detection using SVM and sensor fusion. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171088

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):

Carlsson, Tor. “Individualized Motion Monitoring by Wearable Sensor : Pre-impact fall detection using SVM and sensor fusion.” 2015. Thesis, KTH. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171088.

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

MLA Handbook (7th Edition):

Carlsson, Tor. “Individualized Motion Monitoring by Wearable Sensor : Pre-impact fall detection using SVM and sensor fusion.” 2015. Web. 26 May 2019.

Vancouver:

Carlsson T. Individualized Motion Monitoring by Wearable Sensor : Pre-impact fall detection using SVM and sensor fusion. [Internet] [Thesis]. KTH; 2015. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171088.

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

Council of Science Editors:

Carlsson T. Individualized Motion Monitoring by Wearable Sensor : Pre-impact fall detection using SVM and sensor fusion. [Thesis]. KTH; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-171088

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


Halmstad University

21. Blomberg, Jossefin. Klassificering av svenska nyhetsartiklar med hjälp av Support Vector Machines.

Degree: Information Technology, 2018, Halmstad University

Uppsatsen syftar till att minska omfattningen av påverkanskampanjer genom maskininlärningsmodellen Support Vector Machine. Arbetet utgår från en litteraturstudie samt två experiment. Litteraturstudien syftar till… (more)

Subjects/Keywords: SVM; support vector machines; nyheter; opålitliga nyheter; maskininlärning; machine learning; WEKA; Computer Engineering; Datorteknik

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

APA (6th Edition):

Blomberg, J. (2018). Klassificering av svenska nyhetsartiklar med hjälp av Support Vector Machines. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37767

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):

Blomberg, Jossefin. “Klassificering av svenska nyhetsartiklar med hjälp av Support Vector Machines.” 2018. Thesis, Halmstad University. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37767.

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

MLA Handbook (7th Edition):

Blomberg, Jossefin. “Klassificering av svenska nyhetsartiklar med hjälp av Support Vector Machines.” 2018. Web. 26 May 2019.

Vancouver:

Blomberg J. Klassificering av svenska nyhetsartiklar med hjälp av Support Vector Machines. [Internet] [Thesis]. Halmstad University; 2018. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37767.

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

Council of Science Editors:

Blomberg J. Klassificering av svenska nyhetsartiklar med hjälp av Support Vector Machines. [Thesis]. Halmstad University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-37767

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


Brno University of Technology

22. Kremličková, Lenka. Hodnocení viability kardiomyocytů .

Degree: 2017, Brno University of Technology

 Cílem této diplomové práce je seznámení se s vlastnostmi obrazových dat a principem jejich snímání. Dále literární rešerše metod zabývajících se segmentací obrazu v oblasti… (more)

Subjects/Keywords: Kardiomyocyt; segmentace dat; templát; LBP; klasifikace; SVM; Cardiomyocytes; data segmentation; template; local binary pattern (LBP); classification; support vector machine (SVM)

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

APA (6th Edition):

Kremličková, L. (2017). Hodnocení viability kardiomyocytů . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/65435

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):

Kremličková, Lenka. “Hodnocení viability kardiomyocytů .” 2017. Thesis, Brno University of Technology. Accessed May 26, 2019. http://hdl.handle.net/11012/65435.

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

MLA Handbook (7th Edition):

Kremličková, Lenka. “Hodnocení viability kardiomyocytů .” 2017. Web. 26 May 2019.

Vancouver:

Kremličková L. Hodnocení viability kardiomyocytů . [Internet] [Thesis]. Brno University of Technology; 2017. [cited 2019 May 26]. Available from: http://hdl.handle.net/11012/65435.

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

Council of Science Editors:

Kremličková L. Hodnocení viability kardiomyocytů . [Thesis]. Brno University of Technology; 2017. Available from: http://hdl.handle.net/11012/65435

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


Unitec New Zealand

23. Zhu, Lei. Incremental and parallel learning algorithms for data stream knowledge discovery.

Degree: 2018, Unitec New Zealand

 Incremental and parallel are two capabilities for machine learning algorithms to accommodate data from real world applications. Incremental learning addresses streaming data by constructing a… (more)

Subjects/Keywords: weighted Extreme Support Vector Machine (wESVM); Support Vector Machine (SVM); algorithms; parallel incremental (PI) learning; incremental learning; parallel learning; machine learning; 170203 Knowledge Representation and Machine Learning

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

APA (6th Edition):

Zhu, L. (2018). Incremental and parallel learning algorithms for data stream knowledge discovery. (Thesis). Unitec New Zealand. Retrieved from http://hdl.handle.net/10652/4308

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):

Zhu, Lei. “Incremental and parallel learning algorithms for data stream knowledge discovery.” 2018. Thesis, Unitec New Zealand. Accessed May 26, 2019. http://hdl.handle.net/10652/4308.

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

MLA Handbook (7th Edition):

Zhu, Lei. “Incremental and parallel learning algorithms for data stream knowledge discovery.” 2018. Web. 26 May 2019.

Vancouver:

Zhu L. Incremental and parallel learning algorithms for data stream knowledge discovery. [Internet] [Thesis]. Unitec New Zealand; 2018. [cited 2019 May 26]. Available from: http://hdl.handle.net/10652/4308.

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

Council of Science Editors:

Zhu L. Incremental and parallel learning algorithms for data stream knowledge discovery. [Thesis]. Unitec New Zealand; 2018. Available from: http://hdl.handle.net/10652/4308

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


KTH

24. Javanmardi, Ramtin. Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning.

Degree: Electrical Engineering and Computer Science (EECS), 2018, KTH

Alzheimer’s is one of the most costly illnesses that exists today and the number of people with alzheimers diease is expected to increase with… (more)

Subjects/Keywords: EEG; Alzheimer's; Machine learning; Supervised machine learning; Spectral power; Feature extraction; Support vector machine; svm; knn; lda; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Javanmardi, R. (2018). Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229650

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):

Javanmardi, Ramtin. “Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning.” 2018. Thesis, KTH. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229650.

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

MLA Handbook (7th Edition):

Javanmardi, Ramtin. “Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning.” 2018. Web. 26 May 2019.

Vancouver:

Javanmardi R. Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning. [Internet] [Thesis]. KTH; 2018. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229650.

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

Council of Science Editors:

Javanmardi R. Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning. [Thesis]. KTH; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-229650

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


Linnaeus University

25. Nordström, Jesper. Automated classification of bibliographic data using SVM and Naive Bayes.

Degree: computer science and media technology (CM), 2018, Linnaeus University

  Classification of scientific bibliographic data is an important and increasingly more time-consuming task in a “publish or perish” paradigm where the number of scientific… (more)

Subjects/Keywords: automated classification; machine learning; Naive Bayes; Support Vector Machine; SVM; bibliographic data; SwePub; Computer and Information Sciences; Data- och informationsvetenskap

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

APA (6th Edition):

Nordström, J. (2018). Automated classification of bibliographic data using SVM and Naive Bayes. (Thesis). Linnaeus University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75167

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):

Nordström, Jesper. “Automated classification of bibliographic data using SVM and Naive Bayes.” 2018. Thesis, Linnaeus University. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75167.

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

MLA Handbook (7th Edition):

Nordström, Jesper. “Automated classification of bibliographic data using SVM and Naive Bayes.” 2018. Web. 26 May 2019.

Vancouver:

Nordström J. Automated classification of bibliographic data using SVM and Naive Bayes. [Internet] [Thesis]. Linnaeus University; 2018. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75167.

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

Council of Science Editors:

Nordström J. Automated classification of bibliographic data using SVM and Naive Bayes. [Thesis]. Linnaeus University; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-75167

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


University of South Florida

26. Kramer, Kurt A. System for Identifying Plankton from the SIPPER Instrument Platform.

Degree: 2010, University of South Florida

 Plankton imaging systems such as SIPPER produce a large quantity of data in the form of plankton images from a variety of classes. A system… (more)

Subjects/Keywords: Marine Science; PICES; Machine Learning; Feature Selection; Support Vector Machine; SVM; Multi-Class; Pair-Wise; American Studies; Arts and Humanities

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

APA (6th Edition):

Kramer, K. A. (2010). System for Identifying Plankton from the SIPPER Instrument Platform. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/3646

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):

Kramer, Kurt A. “System for Identifying Plankton from the SIPPER Instrument Platform.” 2010. Thesis, University of South Florida. Accessed May 26, 2019. https://scholarcommons.usf.edu/etd/3646.

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

MLA Handbook (7th Edition):

Kramer, Kurt A. “System for Identifying Plankton from the SIPPER Instrument Platform.” 2010. Web. 26 May 2019.

Vancouver:

Kramer KA. System for Identifying Plankton from the SIPPER Instrument Platform. [Internet] [Thesis]. University of South Florida; 2010. [cited 2019 May 26]. Available from: https://scholarcommons.usf.edu/etd/3646.

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

Council of Science Editors:

Kramer KA. System for Identifying Plankton from the SIPPER Instrument Platform. [Thesis]. University of South Florida; 2010. Available from: https://scholarcommons.usf.edu/etd/3646

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


Northeastern University

27. Vural, Volkan. Improving large margin classifiers using relationships among samples.

Degree: PhD, Department of Electrical and Computer Engineering, 2009, Northeastern University

Support vector machine (SVM) is a powerful supervised classification algorithm that has been successful in many real-world problems such as text categorization, face recognition, and… (more)

Subjects/Keywords: computer engineering; batch learning; kernel methods; machine learning; multi-class classification; semi-supervised learning; Support Vector Machines (SVM); Support vector machines; Machine learning; Computer Engineering

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

APA (6th Edition):

Vural, V. (2009). Improving large margin classifiers using relationships among samples. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/d20000453

Chicago Manual of Style (16th Edition):

Vural, Volkan. “Improving large margin classifiers using relationships among samples.” 2009. Doctoral Dissertation, Northeastern University. Accessed May 26, 2019. http://hdl.handle.net/2047/d20000453.

MLA Handbook (7th Edition):

Vural, Volkan. “Improving large margin classifiers using relationships among samples.” 2009. Web. 26 May 2019.

Vancouver:

Vural V. Improving large margin classifiers using relationships among samples. [Internet] [Doctoral dissertation]. Northeastern University; 2009. [cited 2019 May 26]. Available from: http://hdl.handle.net/2047/d20000453.

Council of Science Editors:

Vural V. Improving large margin classifiers using relationships among samples. [Doctoral Dissertation]. Northeastern University; 2009. Available from: http://hdl.handle.net/2047/d20000453


University of Bradford

28. Abas, Ashardi B. Non-intrusive driver drowsiness detection system.

Degree: PhD, 2011, University of Bradford

 The development of technologies for preventing drowsiness at the wheel is a major challenge in the field of accident avoidance systems. Preventing drowsiness during driving… (more)

Subjects/Keywords: 363.12; Driving; Drowsiness; Accident avoidance systems; Image processing; Drowsiness detection; Driver alertness; Support Vector Machine (SVM) classification technique; Algorithms

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

APA (6th Edition):

Abas, A. B. (2011). Non-intrusive driver drowsiness detection system. (Doctoral Dissertation). University of Bradford. Retrieved from http://hdl.handle.net/10454/5521

Chicago Manual of Style (16th Edition):

Abas, Ashardi B. “Non-intrusive driver drowsiness detection system.” 2011. Doctoral Dissertation, University of Bradford. Accessed May 26, 2019. http://hdl.handle.net/10454/5521.

MLA Handbook (7th Edition):

Abas, Ashardi B. “Non-intrusive driver drowsiness detection system.” 2011. Web. 26 May 2019.

Vancouver:

Abas AB. Non-intrusive driver drowsiness detection system. [Internet] [Doctoral dissertation]. University of Bradford; 2011. [cited 2019 May 26]. Available from: http://hdl.handle.net/10454/5521.

Council of Science Editors:

Abas AB. Non-intrusive driver drowsiness detection system. [Doctoral Dissertation]. University of Bradford; 2011. Available from: http://hdl.handle.net/10454/5521


Uppsala University

29. Fernquist, Johan. Detection of deceptive reviews : using classification and natural language processing features.

Degree: Engineering Sciences, 2016, Uppsala University

  With the great growth of open forums online where anyone can givetheir opinion on everything, the Internet has become a place wherepeople are trying… (more)

Subjects/Keywords: Machine learning; deceptive detection; SVM; support vector machines; natural language processing; NLP; classification; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Fernquist, J. (2016). Detection of deceptive reviews : using classification and natural language processing features. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-306956

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):

Fernquist, Johan. “Detection of deceptive reviews : using classification and natural language processing features.” 2016. Thesis, Uppsala University. Accessed May 26, 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-306956.

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

MLA Handbook (7th Edition):

Fernquist, Johan. “Detection of deceptive reviews : using classification and natural language processing features.” 2016. Web. 26 May 2019.

Vancouver:

Fernquist J. Detection of deceptive reviews : using classification and natural language processing features. [Internet] [Thesis]. Uppsala University; 2016. [cited 2019 May 26]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-306956.

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

Council of Science Editors:

Fernquist J. Detection of deceptive reviews : using classification and natural language processing features. [Thesis]. Uppsala University; 2016. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-306956

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


NSYSU

30. Lin, Chien-hung. TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems.

Degree: Master, Electrical Engineering, 2008, NSYSU

 One of the major problems encountered in wireless location is the effect caused by non-line of sight (NLOS) propagation. When the direct path from the… (more)

Subjects/Keywords: TOA; particle swarm optimization (PSO); wireless location; UWB; NLOS; least squares-support vector machine (LS-SVM)

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

APA (6th Edition):

Lin, C. (2008). TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-145929

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, Chien-hung. “TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems.” 2008. Thesis, NSYSU. Accessed May 26, 2019. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-145929.

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

MLA Handbook (7th Edition):

Lin, Chien-hung. “TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems.” 2008. Web. 26 May 2019.

Vancouver:

Lin C. TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems. [Internet] [Thesis]. NSYSU; 2008. [cited 2019 May 26]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-145929.

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

Council of Science Editors:

Lin C. TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729108-145929

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

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