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You searched for subject:( en MACHINE LEARNING). Showing records 1 – 30 of 84400 total matches.

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Pontifical Catholic University of Rio de Janeiro

1. FRANCISCO COIMBRA CARNEIRO PEREIRA. [en] PREDICTIVE MODELS FOR STUDENT ATTRITION IN PRIVATE GRADUATION: AN APPLICATION OF MACHINE LEARNING TO RELATIONSHIP MARKETING MANAGEMENT.

Degree: 2018, Pontifical Catholic University of Rio de Janeiro

[pt] Perdendo em média mais de 20 por cento da base de alunos todo semestre, a evasão de alunos no ensino superior privado representa um… (more)

Subjects/Keywords: [pt] CLASSIFICACAO; [en] CLASSIFICATION; [pt] MACHINE LEARNING; [en] MACHINE LEARNING; [pt] MODELOS PREDITIVOS; [en] PREDICTIVE MODELS; [pt] EVASAO DE ALUNOS; [en] STUDENT ATTRITION; [pt] LIFETIME VALUE; [en] LIFETIME VALUE

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APA (6th Edition):

PEREIRA, F. C. C. (2018). [en] PREDICTIVE MODELS FOR STUDENT ATTRITION IN PRIVATE GRADUATION: AN APPLICATION OF MACHINE LEARNING TO RELATIONSHIP MARKETING MANAGEMENT. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32553

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):

PEREIRA, FRANCISCO COIMBRA CARNEIRO. “[en] PREDICTIVE MODELS FOR STUDENT ATTRITION IN PRIVATE GRADUATION: AN APPLICATION OF MACHINE LEARNING TO RELATIONSHIP MARKETING MANAGEMENT.” 2018. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed July 15, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32553.

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

MLA Handbook (7th Edition):

PEREIRA, FRANCISCO COIMBRA CARNEIRO. “[en] PREDICTIVE MODELS FOR STUDENT ATTRITION IN PRIVATE GRADUATION: AN APPLICATION OF MACHINE LEARNING TO RELATIONSHIP MARKETING MANAGEMENT.” 2018. Web. 15 Jul 2019.

Vancouver:

PEREIRA FCC. [en] PREDICTIVE MODELS FOR STUDENT ATTRITION IN PRIVATE GRADUATION: AN APPLICATION OF MACHINE LEARNING TO RELATIONSHIP MARKETING MANAGEMENT. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. [cited 2019 Jul 15]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32553.

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

Council of Science Editors:

PEREIRA FCC. [en] PREDICTIVE MODELS FOR STUDENT ATTRITION IN PRIVATE GRADUATION: AN APPLICATION OF MACHINE LEARNING TO RELATIONSHIP MARKETING MANAGEMENT. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2018. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=32553

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


Pontifical Catholic University of Rio de Janeiro

2. EUGENIO PACELLI FERREIRA DIAS JUNIOR. [en] USING REINFORCEMENT LEARNING ON WEB PAGES REVISITING PROBLEM.

Degree: 2012, Pontifical Catholic University of Rio de Janeiro

[pt] No ambiente da Internet, as informações que desejamos frequentemente encontram-se em diferentes localidades. Algumas aplicações, para funcionarem corretamente, precisam manter cópias locais de parte… (more)

Subjects/Keywords: [pt] APRENDIZADO POR REFORCO; [en] REINFORCEMENT LEARNING; [pt] APRENDIZADO DE MAQUINA; [en] MACHINE LEARNING; [pt] ALGORITMO; [en] ALGORITHM

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APA (6th Edition):

JUNIOR, E. P. F. D. (2012). [en] USING REINFORCEMENT LEARNING ON WEB PAGES REVISITING PROBLEM. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19637

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):

JUNIOR, EUGENIO PACELLI FERREIRA DIAS. “[en] USING REINFORCEMENT LEARNING ON WEB PAGES REVISITING PROBLEM.” 2012. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed July 15, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19637.

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

MLA Handbook (7th Edition):

JUNIOR, EUGENIO PACELLI FERREIRA DIAS. “[en] USING REINFORCEMENT LEARNING ON WEB PAGES REVISITING PROBLEM.” 2012. Web. 15 Jul 2019.

Vancouver:

JUNIOR EPFD. [en] USING REINFORCEMENT LEARNING ON WEB PAGES REVISITING PROBLEM. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2012. [cited 2019 Jul 15]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19637.

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

Council of Science Editors:

JUNIOR EPFD. [en] USING REINFORCEMENT LEARNING ON WEB PAGES REVISITING PROBLEM. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2012. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=19637

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


Pontifical Catholic University of Rio de Janeiro

3. DANIEL DA ROSA MARQUES. [en] A METACLASSIFIER FOR FINDING THE K-CLASSES MOST RELEVANTS.

Degree: 2016, Pontifical Catholic University of Rio de Janeiro

[pt] Considere uma rede com k nodos que pode apresentar falhas ao longo de sua operação. Além disso, assuma que é inviável verificar todos os… (more)

Subjects/Keywords: [pt] APRENDIZADO DE MAQUINA; [en] MACHINE LEARNING; [pt] RANKING

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APA (6th Edition):

MARQUES, D. D. R. (2016). [en] A METACLASSIFIER FOR FINDING THE K-CLASSES MOST RELEVANTS. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=27696

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):

MARQUES, DANIEL DA ROSA. “[en] A METACLASSIFIER FOR FINDING THE K-CLASSES MOST RELEVANTS.” 2016. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed July 15, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=27696.

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

MLA Handbook (7th Edition):

MARQUES, DANIEL DA ROSA. “[en] A METACLASSIFIER FOR FINDING THE K-CLASSES MOST RELEVANTS.” 2016. Web. 15 Jul 2019.

Vancouver:

MARQUES DDR. [en] A METACLASSIFIER FOR FINDING THE K-CLASSES MOST RELEVANTS. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2016. [cited 2019 Jul 15]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=27696.

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

Council of Science Editors:

MARQUES DDR. [en] A METACLASSIFIER FOR FINDING THE K-CLASSES MOST RELEVANTS. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2016. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=27696

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


Pontifical Catholic University of Rio de Janeiro

4. PEDRO LARRONDA ASTI. [en] MORPHOSYNTACTIC TAGGER FOR PORTUGUESE-TWITTER.

Degree: 2011, Pontifical Catholic University of Rio de Janeiro

[pt] Nesta dissertação, apresentamos um processador linguístico que resolve a tarefa de Anotação morfossintática de mensagens em português postadas no Twitter. Ao analisar as mensagens… (more)

Subjects/Keywords: [pt] APRENDIZADO DE MAQUINA; [en] MACHINE LEARNING; [pt] PORTUGUES; [en] PORTUGUESE; [pt] TWITTER

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APA (6th Edition):

ASTI, P. L. (2011). [en] MORPHOSYNTACTIC TAGGER FOR PORTUGUESE-TWITTER. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18481

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):

ASTI, PEDRO LARRONDA. “[en] MORPHOSYNTACTIC TAGGER FOR PORTUGUESE-TWITTER.” 2011. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed July 15, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18481.

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

MLA Handbook (7th Edition):

ASTI, PEDRO LARRONDA. “[en] MORPHOSYNTACTIC TAGGER FOR PORTUGUESE-TWITTER.” 2011. Web. 15 Jul 2019.

Vancouver:

ASTI PL. [en] MORPHOSYNTACTIC TAGGER FOR PORTUGUESE-TWITTER. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2011. [cited 2019 Jul 15]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18481.

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

Council of Science Editors:

ASTI PL. [en] MORPHOSYNTACTIC TAGGER FOR PORTUGUESE-TWITTER. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2011. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=18481

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


Oregon State University

5. Vatturi, Pavan Kumar. Rare category detection using hierarchical mean shift.

Degree: MS, Computer Science, 2009, Oregon State University

 Many applications in surveillance, monitoring, scientific discovery, and data cleaning require the identification of anomalies. Although many methods have been developed to identify statistically significant… (more)

Subjects/Keywords: machine learning; Machine learning

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

APA (6th Edition):

Vatturi, P. K. (2009). Rare category detection using hierarchical mean shift. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/10191

Chicago Manual of Style (16th Edition):

Vatturi, Pavan Kumar. “Rare category detection using hierarchical mean shift.” 2009. Masters Thesis, Oregon State University. Accessed July 15, 2019. http://hdl.handle.net/1957/10191.

MLA Handbook (7th Edition):

Vatturi, Pavan Kumar. “Rare category detection using hierarchical mean shift.” 2009. Web. 15 Jul 2019.

Vancouver:

Vatturi PK. Rare category detection using hierarchical mean shift. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/1957/10191.

Council of Science Editors:

Vatturi PK. Rare category detection using hierarchical mean shift. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/10191


Oregon State University

6. Bao, Xinlong. Applying machine learning for prediction, recommendation, and integration.

Degree: PhD, Computer Science, 2009, Oregon State University

 This dissertation explores the idea of applying machine learning technologies to help computer users find information and better organize electronic resources, by presenting the research… (more)

Subjects/Keywords: machine learning; Machine learning

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APA (6th Edition):

Bao, X. (2009). Applying machine learning for prediction, recommendation, and integration. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/12549

Chicago Manual of Style (16th Edition):

Bao, Xinlong. “Applying machine learning for prediction, recommendation, and integration.” 2009. Doctoral Dissertation, Oregon State University. Accessed July 15, 2019. http://hdl.handle.net/1957/12549.

MLA Handbook (7th Edition):

Bao, Xinlong. “Applying machine learning for prediction, recommendation, and integration.” 2009. Web. 15 Jul 2019.

Vancouver:

Bao X. Applying machine learning for prediction, recommendation, and integration. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/1957/12549.

Council of Science Editors:

Bao X. Applying machine learning for prediction, recommendation, and integration. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/12549


Oregon State University

7. Liu, Liping. Machine Learning Methods for Computational Sustainability.

Degree: PhD, Computer Science, 2016, Oregon State University

 Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning(more)

Subjects/Keywords: machine learning; Machine learning

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

APA (6th Edition):

Liu, L. (2016). Machine Learning Methods for Computational Sustainability. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/59159

Chicago Manual of Style (16th Edition):

Liu, Liping. “Machine Learning Methods for Computational Sustainability.” 2016. Doctoral Dissertation, Oregon State University. Accessed July 15, 2019. http://hdl.handle.net/1957/59159.

MLA Handbook (7th Edition):

Liu, Liping. “Machine Learning Methods for Computational Sustainability.” 2016. Web. 15 Jul 2019.

Vancouver:

Liu L. Machine Learning Methods for Computational Sustainability. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/1957/59159.

Council of Science Editors:

Liu L. Machine Learning Methods for Computational Sustainability. [Doctoral Dissertation]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59159


Oregon State University

8. Hooper, Samuel. Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale.

Degree: MS, Geography, 2017, Oregon State University

 Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and… (more)

Subjects/Keywords: machine learning; Machine learning

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

APA (6th Edition):

Hooper, S. (2017). Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/60148

Chicago Manual of Style (16th Edition):

Hooper, Samuel. “Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale.” 2017. Masters Thesis, Oregon State University. Accessed July 15, 2019. http://hdl.handle.net/1957/60148.

MLA Handbook (7th Edition):

Hooper, Samuel. “Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale.” 2017. Web. 15 Jul 2019.

Vancouver:

Hooper S. Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale. [Internet] [Masters thesis]. Oregon State University; 2017. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/1957/60148.

Council of Science Editors:

Hooper S. Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale. [Masters Thesis]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/60148


Pontifical Catholic University of Rio de Janeiro

9. THORAN ARAGUEZ RODRIGUES. [en] A COMPARATIVE STUDY OF WEB PAGE CLASSIFICATION STRATEGIES.

Degree: 2009, Pontifical Catholic University of Rio de Janeiro

[pt] A quantidade de informações na Internet aumenta a cada dia. Embora esta proliferação aumente as chances de que o tema sendo buscado por um… (more)

Subjects/Keywords: [pt] APRENDIZADO DE MAQUINA; [en] MACHINE LEARNING; [pt] CLASSIFICACAO; [en] CLASSIFICATION; [pt] WEB; [en] WEB; [pt] BLOGS; [en] BLOGS

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APA (6th Edition):

RODRIGUES, T. A. (2009). [en] A COMPARATIVE STUDY OF WEB PAGE CLASSIFICATION STRATEGIES. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13890

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):

RODRIGUES, THORAN ARAGUEZ. “[en] A COMPARATIVE STUDY OF WEB PAGE CLASSIFICATION STRATEGIES.” 2009. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed July 15, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13890.

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

MLA Handbook (7th Edition):

RODRIGUES, THORAN ARAGUEZ. “[en] A COMPARATIVE STUDY OF WEB PAGE CLASSIFICATION STRATEGIES.” 2009. Web. 15 Jul 2019.

Vancouver:

RODRIGUES TA. [en] A COMPARATIVE STUDY OF WEB PAGE CLASSIFICATION STRATEGIES. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2009. [cited 2019 Jul 15]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13890.

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

Council of Science Editors:

RODRIGUES TA. [en] A COMPARATIVE STUDY OF WEB PAGE CLASSIFICATION STRATEGIES. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2009. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=13890

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


Pontifical Catholic University of Rio de Janeiro

10. ADRIANO BRITO PEREIRA. [en] PESSIMISTIC Q-LEARNING: AN ALGORITHM TO CREATE BOTS FOR TURN-BASED GAMES.

Degree: 2017, Pontifical Catholic University of Rio de Janeiro

[pt] Este documento apresenta um novo algoritmo de aprendizado por reforço, o Q-Learning Pessimista. Nossa motivação é resolver o problema de gerar bots capazes de… (more)

Subjects/Keywords: [pt] APRENDIZADO POR REFORCO; [en] REINFORCEMENT LEARNING; [pt] APRENDIZADO DE MAQUINA; [en] MACHINE LEARNING; [pt] INTELIGENCIA ARTIFICIAL; [en] ARTIFICIAL INTELLIGENCE; [pt] JOGO; [en] GAME; [pt] Q-LEARNING PESSIMISTA; [pt] BOTS

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APA (6th Edition):

PEREIRA, A. B. (2017). [en] PESSIMISTIC Q-LEARNING: AN ALGORITHM TO CREATE BOTS FOR TURN-BASED GAMES. (Thesis). Pontifical Catholic University of Rio de Janeiro. Retrieved from http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28809

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):

PEREIRA, ADRIANO BRITO. “[en] PESSIMISTIC Q-LEARNING: AN ALGORITHM TO CREATE BOTS FOR TURN-BASED GAMES.” 2017. Thesis, Pontifical Catholic University of Rio de Janeiro. Accessed July 15, 2019. http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28809.

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

MLA Handbook (7th Edition):

PEREIRA, ADRIANO BRITO. “[en] PESSIMISTIC Q-LEARNING: AN ALGORITHM TO CREATE BOTS FOR TURN-BASED GAMES.” 2017. Web. 15 Jul 2019.

Vancouver:

PEREIRA AB. [en] PESSIMISTIC Q-LEARNING: AN ALGORITHM TO CREATE BOTS FOR TURN-BASED GAMES. [Internet] [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2017. [cited 2019 Jul 15]. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28809.

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

Council of Science Editors:

PEREIRA AB. [en] PESSIMISTIC Q-LEARNING: AN ALGORITHM TO CREATE BOTS FOR TURN-BASED GAMES. [Thesis]. Pontifical Catholic University of Rio de Janeiro; 2017. Available from: http://www.maxwell.vrac.puc-rio.br/Busca_etds.php?strSecao=resultado&nrSeq=28809

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


University of Georgia

11. U, Man Chon. Improving learning outcomes by using clustering validity analysis to reduce label uncertainty.

Degree: PhD, Computer Science, 2013, University of Georgia

 When people make critical decisions, they often consider the opinions of multiple experts from different domains rather than committing themselves to a single expert or… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

U, M. C. (2013). Improving learning outcomes by using clustering validity analysis to reduce label uncertainty. (Doctoral Dissertation). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/u_man-chon_201308_phd

Chicago Manual of Style (16th Edition):

U, Man Chon. “Improving learning outcomes by using clustering validity analysis to reduce label uncertainty.” 2013. Doctoral Dissertation, University of Georgia. Accessed July 15, 2019. http://purl.galileo.usg.edu/uga_etd/u_man-chon_201308_phd.

MLA Handbook (7th Edition):

U, Man Chon. “Improving learning outcomes by using clustering validity analysis to reduce label uncertainty.” 2013. Web. 15 Jul 2019.

Vancouver:

U MC. Improving learning outcomes by using clustering validity analysis to reduce label uncertainty. [Internet] [Doctoral dissertation]. University of Georgia; 2013. [cited 2019 Jul 15]. Available from: http://purl.galileo.usg.edu/uga_etd/u_man-chon_201308_phd.

Council of Science Editors:

U MC. Improving learning outcomes by using clustering validity analysis to reduce label uncertainty. [Doctoral Dissertation]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/u_man-chon_201308_phd


University of Georgia

12. Richardson, William Dale. Evolutionary instance resampling for difficult data sets.

Degree: MS, Artificial Intelligence, 2013, University of Georgia

 In the field of machine learning, properties of data sets such as class imbalance and overlap often pose difficulties for classifier algorithms. A number of… (more)

Subjects/Keywords: machine learning

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

APA (6th Edition):

Richardson, W. D. (2013). Evolutionary instance resampling for difficult data sets. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/richardson_william_d_201312_ms

Chicago Manual of Style (16th Edition):

Richardson, William Dale. “Evolutionary instance resampling for difficult data sets.” 2013. Masters Thesis, University of Georgia. Accessed July 15, 2019. http://purl.galileo.usg.edu/uga_etd/richardson_william_d_201312_ms.

MLA Handbook (7th Edition):

Richardson, William Dale. “Evolutionary instance resampling for difficult data sets.” 2013. Web. 15 Jul 2019.

Vancouver:

Richardson WD. Evolutionary instance resampling for difficult data sets. [Internet] [Masters thesis]. University of Georgia; 2013. [cited 2019 Jul 15]. Available from: http://purl.galileo.usg.edu/uga_etd/richardson_william_d_201312_ms.

Council of Science Editors:

Richardson WD. Evolutionary instance resampling for difficult data sets. [Masters Thesis]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/richardson_william_d_201312_ms


University of Georgia

13. Lyle, Arlo. Baseball prediction using ensemble learning.

Degree: MS, Artificial Intelligence, 2007, University of Georgia

 As the salaries of baseball players continue to skyrocket and with the ever-increasing popularity of fantasy baseball, the desire for more accurate predictions of players’… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Lyle, A. (2007). Baseball prediction using ensemble learning. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/lyle_arlo_m_200705_ms

Chicago Manual of Style (16th Edition):

Lyle, Arlo. “Baseball prediction using ensemble learning.” 2007. Masters Thesis, University of Georgia. Accessed July 15, 2019. http://purl.galileo.usg.edu/uga_etd/lyle_arlo_m_200705_ms.

MLA Handbook (7th Edition):

Lyle, Arlo. “Baseball prediction using ensemble learning.” 2007. Web. 15 Jul 2019.

Vancouver:

Lyle A. Baseball prediction using ensemble learning. [Internet] [Masters thesis]. University of Georgia; 2007. [cited 2019 Jul 15]. Available from: http://purl.galileo.usg.edu/uga_etd/lyle_arlo_m_200705_ms.

Council of Science Editors:

Lyle A. Baseball prediction using ensemble learning. [Masters Thesis]. University of Georgia; 2007. Available from: http://purl.galileo.usg.edu/uga_etd/lyle_arlo_m_200705_ms


Penn State University

14. Gowda Aghalya Shyama Sundar, Deepika. Identifying Product Web Pages Using Support Vector Machines.

Degree: MS, Computer Science and Engineering, 2010, Penn State University

 Comparative online shopping tools allow users to compare similar products from different vendors. Despite the availability of a multitude of online retail web sites, there… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Gowda Aghalya Shyama Sundar, D. (2010). Identifying Product Web Pages Using Support Vector Machines. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/10299

Chicago Manual of Style (16th Edition):

Gowda Aghalya Shyama Sundar, Deepika. “Identifying Product Web Pages Using Support Vector Machines.” 2010. Masters Thesis, Penn State University. Accessed July 15, 2019. https://etda.libraries.psu.edu/catalog/10299.

MLA Handbook (7th Edition):

Gowda Aghalya Shyama Sundar, Deepika. “Identifying Product Web Pages Using Support Vector Machines.” 2010. Web. 15 Jul 2019.

Vancouver:

Gowda Aghalya Shyama Sundar D. Identifying Product Web Pages Using Support Vector Machines. [Internet] [Masters thesis]. Penn State University; 2010. [cited 2019 Jul 15]. Available from: https://etda.libraries.psu.edu/catalog/10299.

Council of Science Editors:

Gowda Aghalya Shyama Sundar D. Identifying Product Web Pages Using Support Vector Machines. [Masters Thesis]. Penn State University; 2010. Available from: https://etda.libraries.psu.edu/catalog/10299


University of California – San Diego

15. Gallagher, Patrick W. Operator Theory for Analysis of Convex Optimization Methods in Machine Learning.

Degree: Cognitive Science, 2014, University of California – San Diego

 As machine learning has more closely interacted with optimization, the concept of convexity has loomed large. Two properties beyond simple convexity have received particularly close… (more)

Subjects/Keywords: Machine learning

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APA (6th Edition):

Gallagher, P. W. (2014). Operator Theory for Analysis of Convex Optimization Methods in Machine Learning. (Thesis). University of California – San Diego. Retrieved from http://www.escholarship.org/uc/item/153375qt

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):

Gallagher, Patrick W. “Operator Theory for Analysis of Convex Optimization Methods in Machine Learning.” 2014. Thesis, University of California – San Diego. Accessed July 15, 2019. http://www.escholarship.org/uc/item/153375qt.

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

MLA Handbook (7th Edition):

Gallagher, Patrick W. “Operator Theory for Analysis of Convex Optimization Methods in Machine Learning.” 2014. Web. 15 Jul 2019.

Vancouver:

Gallagher PW. Operator Theory for Analysis of Convex Optimization Methods in Machine Learning. [Internet] [Thesis]. University of California – San Diego; 2014. [cited 2019 Jul 15]. Available from: http://www.escholarship.org/uc/item/153375qt.

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

Council of Science Editors:

Gallagher PW. Operator Theory for Analysis of Convex Optimization Methods in Machine Learning. [Thesis]. University of California – San Diego; 2014. Available from: http://www.escholarship.org/uc/item/153375qt

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


University of Victoria

16. Lam, Newman Ming Ki. Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies.

Degree: School of Public Administration, 2018, University of Victoria

 Research on machine learning has taken numerous different directions. The present study focussed on the microstructural characteristics of learning systems. It was postulated that learning(more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

Lam, N. M. K. (2018). Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies. (Thesis). University of Victoria. Retrieved from https://dspace.library.uvic.ca//handle/1828/9498

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):

Lam, Newman Ming Ki. “Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies.” 2018. Thesis, University of Victoria. Accessed July 15, 2019. https://dspace.library.uvic.ca//handle/1828/9498.

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

MLA Handbook (7th Edition):

Lam, Newman Ming Ki. “Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies.” 2018. Web. 15 Jul 2019.

Vancouver:

Lam NMK. Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies. [Internet] [Thesis]. University of Victoria; 2018. [cited 2019 Jul 15]. Available from: https://dspace.library.uvic.ca//handle/1828/9498.

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

Council of Science Editors:

Lam NMK. Learning in the real world environment: a classification model based on sensitivity to within-dimension and between-category variation of feature frequencies. [Thesis]. University of Victoria; 2018. Available from: https://dspace.library.uvic.ca//handle/1828/9498

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


University of Oxford

17. Bouchacourt, Diane. Task-oriented learning of structured probability distributions.

Degree: PhD, 2017, University of Oxford

Machine learning models automatically learn from historical data to predict unseen events. Such events are often represented as complex multi-dimensional structures. In many cases there… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Bouchacourt, D. (2017). Task-oriented learning of structured probability distributions. (Doctoral Dissertation). University of Oxford. Retrieved from https://ora.ox.ac.uk/objects/uuid:0665495b-afbb-483b-8bdf-cbc6ae5baeff ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740819

Chicago Manual of Style (16th Edition):

Bouchacourt, Diane. “Task-oriented learning of structured probability distributions.” 2017. Doctoral Dissertation, University of Oxford. Accessed July 15, 2019. https://ora.ox.ac.uk/objects/uuid:0665495b-afbb-483b-8bdf-cbc6ae5baeff ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740819.

MLA Handbook (7th Edition):

Bouchacourt, Diane. “Task-oriented learning of structured probability distributions.” 2017. Web. 15 Jul 2019.

Vancouver:

Bouchacourt D. Task-oriented learning of structured probability distributions. [Internet] [Doctoral dissertation]. University of Oxford; 2017. [cited 2019 Jul 15]. Available from: https://ora.ox.ac.uk/objects/uuid:0665495b-afbb-483b-8bdf-cbc6ae5baeff ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740819.

Council of Science Editors:

Bouchacourt D. Task-oriented learning of structured probability distributions. [Doctoral Dissertation]. University of Oxford; 2017. Available from: https://ora.ox.ac.uk/objects/uuid:0665495b-afbb-483b-8bdf-cbc6ae5baeff ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.740819


Oregon State University

18. Das, Shubhomoy. Incorporating User Feedback into Machine Learning Systems.

Degree: PhD, 2017, Oregon State University

 Although machine learning systems are often effective in real-world applications, there are situations in which they can be even better when provided with some degree… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Das, S. (2017). Incorporating User Feedback into Machine Learning Systems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/61580

Chicago Manual of Style (16th Edition):

Das, Shubhomoy. “Incorporating User Feedback into Machine Learning Systems.” 2017. Doctoral Dissertation, Oregon State University. Accessed July 15, 2019. http://hdl.handle.net/1957/61580.

MLA Handbook (7th Edition):

Das, Shubhomoy. “Incorporating User Feedback into Machine Learning Systems.” 2017. Web. 15 Jul 2019.

Vancouver:

Das S. Incorporating User Feedback into Machine Learning Systems. [Internet] [Doctoral dissertation]. Oregon State University; 2017. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/1957/61580.

Council of Science Editors:

Das S. Incorporating User Feedback into Machine Learning Systems. [Doctoral Dissertation]. Oregon State University; 2017. Available from: http://hdl.handle.net/1957/61580

19. Masci, Jonathan. Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions.

Degree: 2014, Università della Svizzera italiana

Learning features for object detection and recognition with deep learning has received increasing attention in the past several years and recently attained widespread popularity. In… (more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

Masci, J. (2014). Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/210177

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):

Masci, Jonathan. “Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions.” 2014. Thesis, Università della Svizzera italiana. Accessed July 15, 2019. http://doc.rero.ch/record/210177.

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

MLA Handbook (7th Edition):

Masci, Jonathan. “Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions.” 2014. Web. 15 Jul 2019.

Vancouver:

Masci J. Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions. [Internet] [Thesis]. Università della Svizzera italiana; 2014. [cited 2019 Jul 15]. Available from: http://doc.rero.ch/record/210177.

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

Council of Science Editors:

Masci J. Advances in deep learning for vision, with applications to industrial inspection: classification, segmentation and morphological extensions. [Thesis]. Università della Svizzera italiana; 2014. Available from: http://doc.rero.ch/record/210177

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


Università della Svizzera italiana

20. Bacchelli, Alberto. Mining unstructured software data.

Degree: 2013, Università della Svizzera italiana

 Our thesis is that the analysis of unstructured data supports software understanding and evolution analysis, and complements the data mined from structured sources. To this… (more)

Subjects/Keywords: Machine learning

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

APA (6th Edition):

Bacchelli, A. (2013). Mining unstructured software data. (Thesis). Università della Svizzera italiana. Retrieved from http://doc.rero.ch/record/203066

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):

Bacchelli, Alberto. “Mining unstructured software data.” 2013. Thesis, Università della Svizzera italiana. Accessed July 15, 2019. http://doc.rero.ch/record/203066.

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

MLA Handbook (7th Edition):

Bacchelli, Alberto. “Mining unstructured software data.” 2013. Web. 15 Jul 2019.

Vancouver:

Bacchelli A. Mining unstructured software data. [Internet] [Thesis]. Università della Svizzera italiana; 2013. [cited 2019 Jul 15]. Available from: http://doc.rero.ch/record/203066.

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

Council of Science Editors:

Bacchelli A. Mining unstructured software data. [Thesis]. Università della Svizzera italiana; 2013. Available from: http://doc.rero.ch/record/203066

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


University of Waikato

21. Han, Zhimeng. Smoothing in Probability Estimation Trees .

Degree: 2011, University of Waikato

 Classification learning is a type of supervised machine learning technique that uses a classification model (e.g. decision tree) to predict unknown class labels for previously… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Han, Z. (2011). Smoothing in Probability Estimation Trees . (Masters Thesis). University of Waikato. Retrieved from http://hdl.handle.net/10289/5701

Chicago Manual of Style (16th Edition):

Han, Zhimeng. “Smoothing in Probability Estimation Trees .” 2011. Masters Thesis, University of Waikato. Accessed July 15, 2019. http://hdl.handle.net/10289/5701.

MLA Handbook (7th Edition):

Han, Zhimeng. “Smoothing in Probability Estimation Trees .” 2011. Web. 15 Jul 2019.

Vancouver:

Han Z. Smoothing in Probability Estimation Trees . [Internet] [Masters thesis]. University of Waikato; 2011. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10289/5701.

Council of Science Editors:

Han Z. Smoothing in Probability Estimation Trees . [Masters Thesis]. University of Waikato; 2011. Available from: http://hdl.handle.net/10289/5701


University of North Carolina – Greensboro

22. Al-Hamadani, Mokhaled N.A. Evaluation of the performance of deep learning techniques over tampered dataset.

Degree: 2015, University of North Carolina – Greensboro

 The reduction of classification error over supervised data sets is the main goal in Deep Learning (DL) approaches. However, tampered data is a serious problem… (more)

Subjects/Keywords: Machine learning

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APA (6th Edition):

Al-Hamadani, M. N. A. (2015). Evaluation of the performance of deep learning techniques over tampered dataset. (Masters Thesis). University of North Carolina – Greensboro. Retrieved from http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18053

Chicago Manual of Style (16th Edition):

Al-Hamadani, Mokhaled N A. “Evaluation of the performance of deep learning techniques over tampered dataset.” 2015. Masters Thesis, University of North Carolina – Greensboro. Accessed July 15, 2019. http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18053.

MLA Handbook (7th Edition):

Al-Hamadani, Mokhaled N A. “Evaluation of the performance of deep learning techniques over tampered dataset.” 2015. Web. 15 Jul 2019.

Vancouver:

Al-Hamadani MNA. Evaluation of the performance of deep learning techniques over tampered dataset. [Internet] [Masters thesis]. University of North Carolina – Greensboro; 2015. [cited 2019 Jul 15]. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18053.

Council of Science Editors:

Al-Hamadani MNA. Evaluation of the performance of deep learning techniques over tampered dataset. [Masters Thesis]. University of North Carolina – Greensboro; 2015. Available from: http://libres.uncg.edu/ir/listing.aspx?styp=ti&id=18053


Wake Forest University

23. Patel, Udita. Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture.

Degree: 2016, Wake Forest University

 The quantity of electronic data available for analysis has grown exponentially with the rapid development of the World Wide Web, the Internet of Things, and… (more)

Subjects/Keywords: Machine Learning

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APA (6th Edition):

Patel, U. (2016). Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture. (Thesis). Wake Forest University. Retrieved from http://hdl.handle.net/10339/59315

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):

Patel, Udita. “Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture.” 2016. Thesis, Wake Forest University. Accessed July 15, 2019. http://hdl.handle.net/10339/59315.

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

MLA Handbook (7th Edition):

Patel, Udita. “Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture.” 2016. Web. 15 Jul 2019.

Vancouver:

Patel U. Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture. [Internet] [Thesis]. Wake Forest University; 2016. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10339/59315.

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

Council of Science Editors:

Patel U. Performance Analysis of Parallel Support Vector Machines on a MapReduce Architecture. [Thesis]. Wake Forest University; 2016. Available from: http://hdl.handle.net/10339/59315

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


Universitetet i Tromsø

24. Myhre, Jonas Nordhaug. Machine Learning using Principal Manifolds and Mode Seeking .

Degree: 2016, Universitetet i Tromsø

 A wide range of machine learning methods have taken advantage of density estimates and their derivatives, including methodology related to principal manifolds and mode seeking,… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Myhre, J. N. (2016). Machine Learning using Principal Manifolds and Mode Seeking . (Doctoral Dissertation). Universitetet i Tromsø. Retrieved from http://hdl.handle.net/10037/9921

Chicago Manual of Style (16th Edition):

Myhre, Jonas Nordhaug. “Machine Learning using Principal Manifolds and Mode Seeking .” 2016. Doctoral Dissertation, Universitetet i Tromsø. Accessed July 15, 2019. http://hdl.handle.net/10037/9921.

MLA Handbook (7th Edition):

Myhre, Jonas Nordhaug. “Machine Learning using Principal Manifolds and Mode Seeking .” 2016. Web. 15 Jul 2019.

Vancouver:

Myhre JN. Machine Learning using Principal Manifolds and Mode Seeking . [Internet] [Doctoral dissertation]. Universitetet i Tromsø 2016. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10037/9921.

Council of Science Editors:

Myhre JN. Machine Learning using Principal Manifolds and Mode Seeking . [Doctoral Dissertation]. Universitetet i Tromsø 2016. Available from: http://hdl.handle.net/10037/9921


University of Arizona

25. Jones, Quintina R. Autonomous Sensor Tasking for Space Situational Awareness ​using Deep Reinforcement Learning .

Degree: 2018, University of Arizona

 The Joint Space Operations Center of the United States Strategic Command’s Joint Functional Component Command for Space is responsible for detecting, tracking, and identifying all… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Jones, Q. R. (2018). Autonomous Sensor Tasking for Space Situational Awareness ​using Deep Reinforcement Learning . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/631456

Chicago Manual of Style (16th Edition):

Jones, Quintina R. “Autonomous Sensor Tasking for Space Situational Awareness ​using Deep Reinforcement Learning .” 2018. Doctoral Dissertation, University of Arizona. Accessed July 15, 2019. http://hdl.handle.net/10150/631456.

MLA Handbook (7th Edition):

Jones, Quintina R. “Autonomous Sensor Tasking for Space Situational Awareness ​using Deep Reinforcement Learning .” 2018. Web. 15 Jul 2019.

Vancouver:

Jones QR. Autonomous Sensor Tasking for Space Situational Awareness ​using Deep Reinforcement Learning . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10150/631456.

Council of Science Editors:

Jones QR. Autonomous Sensor Tasking for Space Situational Awareness ​using Deep Reinforcement Learning . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/631456


University of Illinois – Urbana-Champaign

26. Cai, Deng. Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning.

Degree: PhD, Computer Science, 2009, University of Illinois – Urbana-Champaign

 Spectral methods have recently emerged as a powerful tool for dimensionality reduction and manifold learning. These methods use information contained in the eigenvectors of a… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Cai, D. (2009). Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/11702

Chicago Manual of Style (16th Edition):

Cai, Deng. “Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning.” 2009. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/11702.

MLA Handbook (7th Edition):

Cai, Deng. “Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning.” 2009. Web. 15 Jul 2019.

Vancouver:

Cai D. Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2009. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/11702.

Council of Science Editors:

Cai D. Spectral Regression: A Regression Framework for Efficient Regularized Subspace Learning. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2009. Available from: http://hdl.handle.net/2142/11702


University of Illinois – Urbana-Champaign

27. Jiang, Yiming. Improvements and augmentations to Learning Based Java: a Java based learning based programming language.

Degree: MS, Computer Science, 2016, University of Illinois – Urbana-Champaign

Machine Learning (ML) is the science that enables computers with the ability to learn without being explicitly programmed. ML is so pervasive today, with applications… (more)

Subjects/Keywords: Machine Learning

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

APA (6th Edition):

Jiang, Y. (2016). Improvements and augmentations to Learning Based Java: a Java based learning based programming language. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90827

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):

Jiang, Yiming. “Improvements and augmentations to Learning Based Java: a Java based learning based programming language.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed July 15, 2019. http://hdl.handle.net/2142/90827.

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

MLA Handbook (7th Edition):

Jiang, Yiming. “Improvements and augmentations to Learning Based Java: a Java based learning based programming language.” 2016. Web. 15 Jul 2019.

Vancouver:

Jiang Y. Improvements and augmentations to Learning Based Java: a Java based learning based programming language. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/2142/90827.

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

Council of Science Editors:

Jiang Y. Improvements and augmentations to Learning Based Java: a Java based learning based programming language. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90827

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


California State Polytechnic University – Pomona

28. Alarifi, Hana. Using Machine Learning to Predict Autism: Multiple Algorithms Comparison.

Degree: MS, Department of Computer Science, 2018, California State Polytechnic University – Pomona

Machine learning is one of the most important current technologies. In many aspects of research, machine learning played an extensive role for development especially in… (more)

Subjects/Keywords: machine learning

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

APA (6th Edition):

Alarifi, H. (2018). Using Machine Learning to Predict Autism: Multiple Algorithms Comparison. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/206664

Chicago Manual of Style (16th Edition):

Alarifi, Hana. “Using Machine Learning to Predict Autism: Multiple Algorithms Comparison.” 2018. Masters Thesis, California State Polytechnic University – Pomona. Accessed July 15, 2019. http://hdl.handle.net/10211.3/206664.

MLA Handbook (7th Edition):

Alarifi, Hana. “Using Machine Learning to Predict Autism: Multiple Algorithms Comparison.” 2018. Web. 15 Jul 2019.

Vancouver:

Alarifi H. Using Machine Learning to Predict Autism: Multiple Algorithms Comparison. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2018. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10211.3/206664.

Council of Science Editors:

Alarifi H. Using Machine Learning to Predict Autism: Multiple Algorithms Comparison. [Masters Thesis]. California State Polytechnic University – Pomona; 2018. Available from: http://hdl.handle.net/10211.3/206664


California State Polytechnic University – Pomona

29. Li, Wie Hsing. Detecting Non-Credible News Using Machine Learning.

Degree: MS, Department of Computer Science, 2018, California State Polytechnic University – Pomona

 Many of us are connected to various social media outlets such as Facebook and Twitter. Social media is an online place where one could share… (more)

Subjects/Keywords: machine learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, W. H. (2018). Detecting Non-Credible News Using Machine Learning. (Masters Thesis). California State Polytechnic University – Pomona. Retrieved from http://hdl.handle.net/10211.3/206666

Chicago Manual of Style (16th Edition):

Li, Wie Hsing. “Detecting Non-Credible News Using Machine Learning.” 2018. Masters Thesis, California State Polytechnic University – Pomona. Accessed July 15, 2019. http://hdl.handle.net/10211.3/206666.

MLA Handbook (7th Edition):

Li, Wie Hsing. “Detecting Non-Credible News Using Machine Learning.” 2018. Web. 15 Jul 2019.

Vancouver:

Li WH. Detecting Non-Credible News Using Machine Learning. [Internet] [Masters thesis]. California State Polytechnic University – Pomona; 2018. [cited 2019 Jul 15]. Available from: http://hdl.handle.net/10211.3/206666.

Council of Science Editors:

Li WH. Detecting Non-Credible News Using Machine Learning. [Masters Thesis]. California State Polytechnic University – Pomona; 2018. Available from: http://hdl.handle.net/10211.3/206666

30. Khorshidi, Alireza. Methods and Theories in Atomistic Reaction Engineering.

Degree: School of Engineering, 2018, Brown University

 Electronic-structure calculations have provided us with in-depth understanding of chemical and physical phenomena in atomic and molecular scales. In particular, density functional theory has been… (more)

Subjects/Keywords: Machine Learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Khorshidi, A. (2018). Methods and Theories in Atomistic Reaction Engineering. (Thesis). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:792658/

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):

Khorshidi, Alireza. “Methods and Theories in Atomistic Reaction Engineering.” 2018. Thesis, Brown University. Accessed July 15, 2019. https://repository.library.brown.edu/studio/item/bdr:792658/.

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

MLA Handbook (7th Edition):

Khorshidi, Alireza. “Methods and Theories in Atomistic Reaction Engineering.” 2018. Web. 15 Jul 2019.

Vancouver:

Khorshidi A. Methods and Theories in Atomistic Reaction Engineering. [Internet] [Thesis]. Brown University; 2018. [cited 2019 Jul 15]. Available from: https://repository.library.brown.edu/studio/item/bdr:792658/.

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

Council of Science Editors:

Khorshidi A. Methods and Theories in Atomistic Reaction Engineering. [Thesis]. Brown University; 2018. Available from: https://repository.library.brown.edu/studio/item/bdr:792658/

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

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