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You searched for subject:(Vector machine SVM ). Showing records 1 – 30 of 19126 total matches.

[1] [2] [3] [4] [5] … [638]

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University of Edinburgh

1. 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 October 29, 2020. http://hdl.handle.net/1842/22814.

MLA Handbook (7th Edition):

Zarogianni, Eleni. “Machine learning and brain imaging in psychosis.” 2016. Web. 29 Oct 2020.

Vancouver:

Zarogianni E. Machine learning and brain imaging in psychosis. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Oct 29]. 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


Georgia Tech

2. Tanveer, Maham. Classification of anomalous machine sounds using i-vectors.

Degree: MS, Electrical and Computer Engineering, 2020, Georgia Tech

 The objective of the proposed work is to analyze and study the use of i-vectors for Anomalous Detection of Sounds (ADS) in Machines. I-vectors, to… (more)

Subjects/Keywords: I-vector; Anomalous detection of sounds; Machine sounds classification; SVM; Naive Bayes; One-class SVM

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APA (6th Edition):

Tanveer, M. (2020). Classification of anomalous machine sounds using i-vectors. (Masters Thesis). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62812

Chicago Manual of Style (16th Edition):

Tanveer, Maham. “Classification of anomalous machine sounds using i-vectors.” 2020. Masters Thesis, Georgia Tech. Accessed October 29, 2020. http://hdl.handle.net/1853/62812.

MLA Handbook (7th Edition):

Tanveer, Maham. “Classification of anomalous machine sounds using i-vectors.” 2020. Web. 29 Oct 2020.

Vancouver:

Tanveer M. Classification of anomalous machine sounds using i-vectors. [Internet] [Masters thesis]. Georgia Tech; 2020. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/1853/62812.

Council of Science Editors:

Tanveer M. Classification of anomalous machine sounds using i-vectors. [Masters Thesis]. Georgia Tech; 2020. Available from: http://hdl.handle.net/1853/62812


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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

sainju s. REGION-COLOR BASED AUTOMATED BLEEDING DETECTION IN CAPSULE ENDOSCOPY VIDEOS. [Internet] [Thesis]. University of Saskatchewan; 2014. [cited 2020 Oct 29]. 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


Indian Institute of Science

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

Degree: PhD, Faculty of Engineering, 2011, Indian Institute of Science

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

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

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APA (6th Edition):

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

Chicago Manual of Style (16th Edition):

Asharaf, S. “Efficient Kernel Methods For Large Scale Classification.” 2011. Doctoral Dissertation, Indian Institute of Science. Accessed October 29, 2020. http://etd.iisc.ac.in/handle/2005/1076.

MLA Handbook (7th Edition):

Asharaf, S. “Efficient Kernel Methods For Large Scale Classification.” 2011. Web. 29 Oct 2020.

Vancouver:

Asharaf S. Efficient Kernel Methods For Large Scale Classification. [Internet] [Doctoral dissertation]. Indian Institute of Science; 2011. [cited 2020 Oct 29]. Available from: http://etd.iisc.ac.in/handle/2005/1076.

Council of Science Editors:

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


NSYSU

5. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Yeh K. Software and Hardware Designs of a Vehicle Detection System Based on Single Camera Image Sequence. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Oct 29]. 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


KTH

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

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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Lau C. Support Vector Machine Algorithm applied to Industrial Robot Error Recovery. [Internet] [Thesis]. KTH; 2015. [cited 2020 Oct 29]. 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


Université de Lorraine

7. 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 October 29, 2020. 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. 29 Oct 2020.

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 2020 Oct 29]. 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


Ohio University

8. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Plis KA. The Effects of Novel Feature Vectors on Metagenomic Classification. [Internet] [Masters thesis]. Ohio University; 2014. [cited 2020 Oct 29]. 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


Brno University of Technology

9. Kremličková, Lenka. Hodnocení viability kardiomyocytů: Evaluation of viability of cardiomyocytes.

Degree: 2018, Brno University of Technology

 The aim of this diploma thesis is to get acquainted with the properties of image data and the principle of their capture. Literary research on… (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 (6th Edition):

Kremličková, L. (2018). Hodnocení viability kardiomyocytů: Evaluation of viability of cardiomyocytes. (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: Evaluation of viability of cardiomyocytes.” 2018. Thesis, Brno University of Technology. Accessed October 29, 2020. 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: Evaluation of viability of cardiomyocytes.” 2018. Web. 29 Oct 2020.

Vancouver:

Kremličková L. Hodnocení viability kardiomyocytů: Evaluation of viability of cardiomyocytes. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Oct 29]. 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: Evaluation of viability of cardiomyocytes. [Thesis]. Brno University of Technology; 2018. 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

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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Souza AAd. Estudo de fitofisionomias de Cerrado com dados do sensor Hyperion-EO-1. [Internet] [Thesis]. Instituto Nacional de Pesquisas Espaciais; 2009. [cited 2020 Oct 29]. 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. Truhlář, Martin. Biologicky inspirované metody rozpoznávání objektů: Biologically Inspired Methods of Object Recognition.

Degree: 2018, Brno University of Technology

 This document describes a method for biologically inspired pattern recognition. Furthermore, it explains the process of image processing and various stages of information extraction for… (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. (2018). Biologicky inspirované metody rozpoznávání objektů: Biologically Inspired Methods of Object Recognition. (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: Biologically Inspired Methods of Object Recognition.” 2018. Thesis, Brno University of Technology. Accessed October 29, 2020. 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: Biologically Inspired Methods of Object Recognition.” 2018. Web. 29 Oct 2020.

Vancouver:

Truhlář M. Biologicky inspirované metody rozpoznávání objektů: Biologically Inspired Methods of Object Recognition. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2020 Oct 29]. 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: Biologically Inspired Methods of Object Recognition. [Thesis]. Brno University of Technology; 2018. 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

12. Juřica, Dalibor. Rozpoznávání textu v obraze: Optical Character Recognition.

Degree: 2019, Brno University of Technology

 The document is discussing the issue of the computer vision with ability to character recignition in the image. Wavelet transform is used for preprocessing the… (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 · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Juřica, D. (2019). Rozpoznávání textu v obraze: Optical Character Recognition. (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: Optical Character Recognition.” 2019. Thesis, Brno University of Technology. Accessed October 29, 2020. 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: Optical Character Recognition.” 2019. Web. 29 Oct 2020.

Vancouver:

Juřica D. Rozpoznávání textu v obraze: Optical Character Recognition. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 29]. 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: Optical Character Recognition. [Thesis]. Brno University of Technology; 2019. 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

13. Šalamoun, Jan. Klasifikace signálů denní aktivity nasnímaných zařízením Faros: Classification of free living data sensed with Faros.

Degree: 2019, Brno University of Technology

 Topic of this master thesis is classification of free living data sensed with Faros. Faros is small compatible device which measure ECG and 3-axes accelerometric… (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 (6th Edition):

Šalamoun, J. (2019). Klasifikace signálů denní aktivity nasnímaných zařízením Faros: Classification of free living data sensed with 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: Classification of free living data sensed with Faros.” 2019. Thesis, Brno University of Technology. Accessed October 29, 2020. 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: Classification of free living data sensed with Faros.” 2019. Web. 29 Oct 2020.

Vancouver:

Šalamoun J. Klasifikace signálů denní aktivity nasnímaných zařízením Faros: Classification of free living data sensed with Faros. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Oct 29]. 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: Classification of free living data sensed with Faros. [Thesis]. Brno University of Technology; 2019. 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


NSYSU

14. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Chen W. Forward-Selection-Based Feature Selection for Genre Analysis and Recognition of Popular Music. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Oct 29]. 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


Universidade do Rio Grande do Norte

15. 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 October 29, 2020. 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. 29 Oct 2020.

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 2020 Oct 29]. 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

16. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Lai J. Ensemble Learning for Text Classiï¬cation. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Oct 29]. 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

17. 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 October 29, 2020. 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. 29 Oct 2020.

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 2020 Oct 29]. 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

18. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Carlsson T. Individualized Motion Monitoring by Wearable Sensor : Pre-impact fall detection using SVM and sensor fusion. [Internet] [Thesis]. KTH; 2015. [cited 2020 Oct 29]. 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


KTH

19. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Huss J. Cross Site Product Page Classification with Supervised Machine Learning. [Internet] [Thesis]. KTH; 2016. [cited 2020 Oct 29]. 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 Texas – Austin

20. -5880-4859. Texas Groundwater Conservation District policy : content mining and statistical analysis.

Degree: MA, Energy and Earth Resources, 2019, University of Texas – Austin

 Groundwater is an increasingly significant and precious commodity within the state of Texas. The only statewide regulatory vehicle for governance and management of the groundwater… (more)

Subjects/Keywords: Groundwater; GCD; Texas; Policy; Statistical Analysis; Data Mining; Content Mining; SVM; Support Vector Machine

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

APA (6th Edition):

-5880-4859. (2019). Texas Groundwater Conservation District policy : content mining and statistical analysis. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/2439

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-5880-4859. “Texas Groundwater Conservation District policy : content mining and statistical analysis.” 2019. Masters Thesis, University of Texas – Austin. Accessed October 29, 2020. http://dx.doi.org/10.26153/tsw/2439.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-5880-4859. “Texas Groundwater Conservation District policy : content mining and statistical analysis.” 2019. Web. 29 Oct 2020.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-5880-4859. Texas Groundwater Conservation District policy : content mining and statistical analysis. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2020 Oct 29]. Available from: http://dx.doi.org/10.26153/tsw/2439.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-5880-4859. Texas Groundwater Conservation District policy : content mining and statistical analysis. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/2439

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete


University of Toledo

21. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Mogireddy KKR. Physical Characterization of Particulate Matter Employing Support Vector Machine Aided Image Processing. [Internet] [Masters thesis]. University of Toledo; 2011. [cited 2020 Oct 29]. 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


KTH

22. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Javanmardi R. Classification of Healthy and Alzheimer's Patients Using Electroencephalography and Supervised Machine Learning. [Internet] [Thesis]. KTH; 2018. [cited 2020 Oct 29]. 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


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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Zhu L. Incremental and parallel learning algorithms for data stream knowledge discovery. [Internet] [Thesis]. Unitec New Zealand; 2018. [cited 2020 Oct 29]. 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


Linnaeus University

24. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Nordström J. Automated classification of bibliographic data using SVM and Naive Bayes. [Internet] [Thesis]. Linnaeus University; 2018. [cited 2020 Oct 29]. 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

25. Binjumah, Weam Mohammed S. Reducing errors in optical data transmission using trainable machine learning methods.

Degree: PhD, 2019, University of Hertfordshire

 Reducing Bit Error Ratio (BER) and improving performance of modern coherent optical communication system is a significant issue. As the distance travelled by the information… (more)

Subjects/Keywords: Machine learning (ML); Support vector machine (SVM); Signal processing; Fiber optics; Wavelets; Bit errors ratio (BER); classification; Optical communication systems

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APA (6th Edition):

Binjumah, W. M. S. (2019). Reducing errors in optical data transmission using trainable machine learning methods. (Doctoral Dissertation). University of Hertfordshire. Retrieved from http://hdl.handle.net/2299/22127

Chicago Manual of Style (16th Edition):

Binjumah, Weam Mohammed S. “Reducing errors in optical data transmission using trainable machine learning methods.” 2019. Doctoral Dissertation, University of Hertfordshire. Accessed October 29, 2020. http://hdl.handle.net/2299/22127.

MLA Handbook (7th Edition):

Binjumah, Weam Mohammed S. “Reducing errors in optical data transmission using trainable machine learning methods.” 2019. Web. 29 Oct 2020.

Vancouver:

Binjumah WMS. Reducing errors in optical data transmission using trainable machine learning methods. [Internet] [Doctoral dissertation]. University of Hertfordshire; 2019. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/2299/22127.

Council of Science Editors:

Binjumah WMS. Reducing errors in optical data transmission using trainable machine learning methods. [Doctoral Dissertation]. University of Hertfordshire; 2019. Available from: http://hdl.handle.net/2299/22127


McMaster University

26. Piran Nanekaran, Negin. Machine Learning Based Failure Detection in Data Centers.

Degree: MSc, 2020, McMaster University

This work proposes a new approach to fast detection of abnormal behaviour of cooling, IT, and power distribution systems in micro data centers based on… (more)

Subjects/Keywords: predictive maintenance; artificial intelligence; machine learning; supervised learning; unsupervised learning; micro data center; anomaly detection; data acquisition; support vector machine (SVM); One-Class SVM

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APA (6th Edition):

Piran Nanekaran, N. (2020). Machine Learning Based Failure Detection in Data Centers. (Masters Thesis). McMaster University. Retrieved from http://hdl.handle.net/11375/25723

Chicago Manual of Style (16th Edition):

Piran Nanekaran, Negin. “Machine Learning Based Failure Detection in Data Centers.” 2020. Masters Thesis, McMaster University. Accessed October 29, 2020. http://hdl.handle.net/11375/25723.

MLA Handbook (7th Edition):

Piran Nanekaran, Negin. “Machine Learning Based Failure Detection in Data Centers.” 2020. Web. 29 Oct 2020.

Vancouver:

Piran Nanekaran N. Machine Learning Based Failure Detection in Data Centers. [Internet] [Masters thesis]. McMaster University; 2020. [cited 2020 Oct 29]. Available from: http://hdl.handle.net/11375/25723.

Council of Science Editors:

Piran Nanekaran N. Machine Learning Based Failure Detection in Data Centers. [Masters Thesis]. McMaster University; 2020. Available from: http://hdl.handle.net/11375/25723


NSYSU

27. 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 October 29, 2020. 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. 29 Oct 2020.

Vancouver:

Lin C. TOA Wireless Location Algorithm with NLOS Mitigation Based on LS-SVM in UWB Systems. [Internet] [Thesis]. NSYSU; 2008. [cited 2020 Oct 29]. 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


NSYSU

28. Sun, Yung-Da. A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data.

Degree: PhD, Marine Environment and Engineering, 2017, NSYSU

 In recent years, Airborne Bathymetric Light Detection and Ranging (LiDAR) has been applied intensively to map coastal depth as well as for seabed classification. In… (more)

Subjects/Keywords: gray co-occurrence matrices (GLCM); Support Vector Machine (SVM); K-means; Hybrid method; bathymetric LiDAR data

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

APA (6th Edition):

Sun, Y. (2017). A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609117-235215

Chicago Manual of Style (16th Edition):

Sun, Yung-Da. “A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data.” 2017. Doctoral Dissertation, NSYSU. Accessed October 29, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609117-235215.

MLA Handbook (7th Edition):

Sun, Yung-Da. “A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data.” 2017. Web. 29 Oct 2020.

Vancouver:

Sun Y. A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data. [Internet] [Doctoral dissertation]. NSYSU; 2017. [cited 2020 Oct 29]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609117-235215.

Council of Science Editors:

Sun Y. A Hybrid Seabed Classification Method Using Airborne Laser Bathymetric Data. [Doctoral Dissertation]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0609117-235215


University of Manchester

29. Kinalwa-Nalule, Myra. Using Machine Learning to Determine Fold Class and Secondary Structure Content from Raman Optical Activity and Raman Vibrational Spectroscopy.

Degree: 2012, University of Manchester

 The objective of this project was to apply machine learning methods to determine protein secondary structure content and protein fold class from ROA and Raman… (more)

Subjects/Keywords: machine learning, ROA spectroscopy, Raman spectroscopy; Random Forests, PLS regression, Support Vector Machines; data mining, SVM, RF

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

APA (6th Edition):

Kinalwa-Nalule, M. (2012). Using Machine Learning to Determine Fold Class and Secondary Structure Content from Raman Optical Activity and Raman Vibrational Spectroscopy. (Doctoral Dissertation). University of Manchester. Retrieved from http://www.manchester.ac.uk/escholar/uk-ac-man-scw:157165

Chicago Manual of Style (16th Edition):

Kinalwa-Nalule, Myra. “Using Machine Learning to Determine Fold Class and Secondary Structure Content from Raman Optical Activity and Raman Vibrational Spectroscopy.” 2012. Doctoral Dissertation, University of Manchester. Accessed October 29, 2020. http://www.manchester.ac.uk/escholar/uk-ac-man-scw:157165.

MLA Handbook (7th Edition):

Kinalwa-Nalule, Myra. “Using Machine Learning to Determine Fold Class and Secondary Structure Content from Raman Optical Activity and Raman Vibrational Spectroscopy.” 2012. Web. 29 Oct 2020.

Vancouver:

Kinalwa-Nalule M. Using Machine Learning to Determine Fold Class and Secondary Structure Content from Raman Optical Activity and Raman Vibrational Spectroscopy. [Internet] [Doctoral dissertation]. University of Manchester; 2012. [cited 2020 Oct 29]. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:157165.

Council of Science Editors:

Kinalwa-Nalule M. Using Machine Learning to Determine Fold Class and Secondary Structure Content from Raman Optical Activity and Raman Vibrational Spectroscopy. [Doctoral Dissertation]. University of Manchester; 2012. Available from: http://www.manchester.ac.uk/escholar/uk-ac-man-scw:157165


Penn State University

30. Kurien, Jacob. Classification of CPM signals using empirical mode decomposition and approximate entropy.

Degree: 2012, Penn State University

 In communication systems the most commonly used modulation scheme is the Continuous Phase Modulation. Finding the modulation index of the CPM signal is one of… (more)

Subjects/Keywords: empirical mode decomposition; approximate entropy; support vector machine; probabilistic neural network; LDA; CPM; PNN; SVM; EMD

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

APA (6th Edition):

Kurien, J. (2012). Classification of CPM signals using empirical mode decomposition and approximate entropy. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16171

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):

Kurien, Jacob. “Classification of CPM signals using empirical mode decomposition and approximate entropy.” 2012. Thesis, Penn State University. Accessed October 29, 2020. https://submit-etda.libraries.psu.edu/catalog/16171.

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

MLA Handbook (7th Edition):

Kurien, Jacob. “Classification of CPM signals using empirical mode decomposition and approximate entropy.” 2012. Web. 29 Oct 2020.

Vancouver:

Kurien J. Classification of CPM signals using empirical mode decomposition and approximate entropy. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Oct 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/16171.

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

Council of Science Editors:

Kurien J. Classification of CPM signals using empirical mode decomposition and approximate entropy. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/16171

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

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