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You searched for subject:( learning). Showing records 1 – 30 of 53942 total matches.

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Oregon State University

1. Anderson, Jessica. What says your heart: community, learning, and education in a Nahua indigenous village.

Degree: MA, Applied Anthropology, 2016, Oregon State University

 The purpose of this thesis is to understand the experiences that Nahua children, in rural Mexico, have as they attend schools that are primarily influenced… (more)

Subjects/Keywords: learning

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APA (6th Edition):

Anderson, J. (2016). What says your heart: community, learning, and education in a Nahua indigenous village. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/59993

Chicago Manual of Style (16th Edition):

Anderson, Jessica. “What says your heart: community, learning, and education in a Nahua indigenous village.” 2016. Masters Thesis, Oregon State University. Accessed September 20, 2020. http://hdl.handle.net/1957/59993.

MLA Handbook (7th Edition):

Anderson, Jessica. “What says your heart: community, learning, and education in a Nahua indigenous village.” 2016. Web. 20 Sep 2020.

Vancouver:

Anderson J. What says your heart: community, learning, and education in a Nahua indigenous village. [Internet] [Masters thesis]. Oregon State University; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1957/59993.

Council of Science Editors:

Anderson J. What says your heart: community, learning, and education in a Nahua indigenous village. [Masters Thesis]. Oregon State University; 2016. Available from: http://hdl.handle.net/1957/59993


University of Rochester

2. Tracey, Edward A. (1976 - ). Firefighter workplace learning : an exploratory case study.

Degree: EdD, 2014, University of Rochester

 Despite there being a significant amount of research investigating workplace learning, research exploring firefighter workplace learning is almost nonexistent. The purpose of this qualitative multi-case… (more)

Subjects/Keywords: Workplace learning; Firefighter learning; Informal learning; Informal workplace learning; Adult learning

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APA (6th Edition):

Tracey, E. A. (. -. ). (2014). Firefighter workplace learning : an exploratory case study. (Doctoral Dissertation). University of Rochester. Retrieved from http://hdl.handle.net/1802/28350

Chicago Manual of Style (16th Edition):

Tracey, Edward A (1976 - ). “Firefighter workplace learning : an exploratory case study.” 2014. Doctoral Dissertation, University of Rochester. Accessed September 20, 2020. http://hdl.handle.net/1802/28350.

MLA Handbook (7th Edition):

Tracey, Edward A (1976 - ). “Firefighter workplace learning : an exploratory case study.” 2014. Web. 20 Sep 2020.

Vancouver:

Tracey EA(-). Firefighter workplace learning : an exploratory case study. [Internet] [Doctoral dissertation]. University of Rochester; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1802/28350.

Council of Science Editors:

Tracey EA(-). Firefighter workplace learning : an exploratory case study. [Doctoral Dissertation]. University of Rochester; 2014. Available from: http://hdl.handle.net/1802/28350


University of Edinburgh

3. Pang, Kunkun. Learning about the learning process : from active querying to fine-tuning.

Degree: PhD, 2019, University of Edinburgh

 The majority of research on academic machine learning addresses the core model fitting part of the machine learning workflow. However, prior to model fitting, data… (more)

Subjects/Keywords: meta learning; active learning; transfer learning; reinforcement learning; bandit learning

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APA (6th Edition):

Pang, K. (2019). Learning about the learning process : from active querying to fine-tuning. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/36031

Chicago Manual of Style (16th Edition):

Pang, Kunkun. “Learning about the learning process : from active querying to fine-tuning.” 2019. Doctoral Dissertation, University of Edinburgh. Accessed September 20, 2020. http://hdl.handle.net/1842/36031.

MLA Handbook (7th Edition):

Pang, Kunkun. “Learning about the learning process : from active querying to fine-tuning.” 2019. Web. 20 Sep 2020.

Vancouver:

Pang K. Learning about the learning process : from active querying to fine-tuning. [Internet] [Doctoral dissertation]. University of Edinburgh; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1842/36031.

Council of Science Editors:

Pang K. Learning about the learning process : from active querying to fine-tuning. [Doctoral Dissertation]. University of Edinburgh; 2019. Available from: http://hdl.handle.net/1842/36031


Cornell University

4. Karampatziakis, Nikolaos. Online Learning Algorithms For Sequence Prediction, Importance Weighted Classification, And Active Learning.

Degree: PhD, Computer Science, 2012, Cornell University

 This thesis studies three problems in online learning. For all the problems the proposed solutions are simple yet non-trivial adaptations of existing online machine learning(more)

Subjects/Keywords: machine learning; online learning; active learning

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APA (6th Edition):

Karampatziakis, N. (2012). Online Learning Algorithms For Sequence Prediction, Importance Weighted Classification, And Active Learning. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/31116

Chicago Manual of Style (16th Edition):

Karampatziakis, Nikolaos. “Online Learning Algorithms For Sequence Prediction, Importance Weighted Classification, And Active Learning.” 2012. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/31116.

MLA Handbook (7th Edition):

Karampatziakis, Nikolaos. “Online Learning Algorithms For Sequence Prediction, Importance Weighted Classification, And Active Learning.” 2012. Web. 20 Sep 2020.

Vancouver:

Karampatziakis N. Online Learning Algorithms For Sequence Prediction, Importance Weighted Classification, And Active Learning. [Internet] [Doctoral dissertation]. Cornell University; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/31116.

Council of Science Editors:

Karampatziakis N. Online Learning Algorithms For Sequence Prediction, Importance Weighted Classification, And Active Learning. [Doctoral Dissertation]. Cornell University; 2012. Available from: http://hdl.handle.net/1813/31116


University of Waterloo

5. Gaurav, Ashish. Safety-Oriented Stability Biases for Continual Learning.

Degree: 2020, University of Waterloo

 Continual learning is often confounded by “catastrophic forgetting” that prevents neural networks from learning tasks sequentially. In the case of real world classification systems that… (more)

Subjects/Keywords: deep learning; continual learning; classification; reinforcement learning

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APA (6th Edition):

Gaurav, A. (2020). Safety-Oriented Stability Biases for Continual Learning. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15579

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):

Gaurav, Ashish. “Safety-Oriented Stability Biases for Continual Learning.” 2020. Thesis, University of Waterloo. Accessed September 20, 2020. http://hdl.handle.net/10012/15579.

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

MLA Handbook (7th Edition):

Gaurav, Ashish. “Safety-Oriented Stability Biases for Continual Learning.” 2020. Web. 20 Sep 2020.

Vancouver:

Gaurav A. Safety-Oriented Stability Biases for Continual Learning. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10012/15579.

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

Council of Science Editors:

Gaurav A. Safety-Oriented Stability Biases for Continual Learning. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15579

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


University of Guelph

6. Im, Jiwoong. Analyzing Unsupervised Representation Learning Models Under the View of Dynamical Systems.

Degree: Master of Applied Science, School of Engineering, 2015, University of Guelph

 The objective of this thesis is to take the dynamical systems approach to understand the unsupervised learning models and learning algorithms. Gated auto-encoders (GAEs) are… (more)

Subjects/Keywords: Machine learning; Deep Learning; unsupervised learning

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APA (6th Edition):

Im, J. (2015). Analyzing Unsupervised Representation Learning Models Under the View of Dynamical Systems. (Masters Thesis). University of Guelph. Retrieved from https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8809

Chicago Manual of Style (16th Edition):

Im, Jiwoong. “Analyzing Unsupervised Representation Learning Models Under the View of Dynamical Systems.” 2015. Masters Thesis, University of Guelph. Accessed September 20, 2020. https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8809.

MLA Handbook (7th Edition):

Im, Jiwoong. “Analyzing Unsupervised Representation Learning Models Under the View of Dynamical Systems.” 2015. Web. 20 Sep 2020.

Vancouver:

Im J. Analyzing Unsupervised Representation Learning Models Under the View of Dynamical Systems. [Internet] [Masters thesis]. University of Guelph; 2015. [cited 2020 Sep 20]. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8809.

Council of Science Editors:

Im J. Analyzing Unsupervised Representation Learning Models Under the View of Dynamical Systems. [Masters Thesis]. University of Guelph; 2015. Available from: https://atrium.lib.uoguelph.ca/xmlui/handle/10214/8809


Hong Kong University of Science and Technology

7. Wellmer, Zachary William CSE. Building and leveraging implicit models for policy gradient methods.

Degree: 2019, Hong Kong University of Science and Technology

 In this thesis, we study Policy Prediction Network and Policy Tree Network, both are deep reinforcement learning architectures offering ways to improve sample complexity and… (more)

Subjects/Keywords: Reinforcement learning ; Machine learning ; Implicit learning

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APA (6th Edition):

Wellmer, Z. W. C. (2019). Building and leveraging implicit models for policy gradient methods. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-102375 ; https://doi.org/10.14711/thesis-991012757568703412 ; http://repository.ust.hk/ir/bitstream/1783.1-102375/1/th_redirect.html

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):

Wellmer, Zachary William CSE. “Building and leveraging implicit models for policy gradient methods.” 2019. Thesis, Hong Kong University of Science and Technology. Accessed September 20, 2020. http://repository.ust.hk/ir/Record/1783.1-102375 ; https://doi.org/10.14711/thesis-991012757568703412 ; http://repository.ust.hk/ir/bitstream/1783.1-102375/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Wellmer, Zachary William CSE. “Building and leveraging implicit models for policy gradient methods.” 2019. Web. 20 Sep 2020.

Vancouver:

Wellmer ZWC. Building and leveraging implicit models for policy gradient methods. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2019. [cited 2020 Sep 20]. Available from: http://repository.ust.hk/ir/Record/1783.1-102375 ; https://doi.org/10.14711/thesis-991012757568703412 ; http://repository.ust.hk/ir/bitstream/1783.1-102375/1/th_redirect.html.

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

Council of Science Editors:

Wellmer ZWC. Building and leveraging implicit models for policy gradient methods. [Thesis]. Hong Kong University of Science and Technology; 2019. Available from: http://repository.ust.hk/ir/Record/1783.1-102375 ; https://doi.org/10.14711/thesis-991012757568703412 ; http://repository.ust.hk/ir/bitstream/1783.1-102375/1/th_redirect.html

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


University of Notre Dame

8. WonJae Shin. Learning a Recursive Center-Embedding Rule and the Role of Test Method and Feedback</h1>.

Degree: Psychology, 2014, University of Notre Dame

  Language is a quintessential and complex human skill. One reflection is the ability to produce and understand an infinite number of new sentences (i.e.,… (more)

Subjects/Keywords: Statistical learning; Learning; Grammar; Rule learning; Recursion

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APA (6th Edition):

Shin, W. (2014). Learning a Recursive Center-Embedding Rule and the Role of Test Method and Feedback</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/nc580k24h9w

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):

Shin, WonJae. “Learning a Recursive Center-Embedding Rule and the Role of Test Method and Feedback</h1>.” 2014. Thesis, University of Notre Dame. Accessed September 20, 2020. https://curate.nd.edu/show/nc580k24h9w.

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

MLA Handbook (7th Edition):

Shin, WonJae. “Learning a Recursive Center-Embedding Rule and the Role of Test Method and Feedback</h1>.” 2014. Web. 20 Sep 2020.

Vancouver:

Shin W. Learning a Recursive Center-Embedding Rule and the Role of Test Method and Feedback</h1>. [Internet] [Thesis]. University of Notre Dame; 2014. [cited 2020 Sep 20]. Available from: https://curate.nd.edu/show/nc580k24h9w.

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

Council of Science Editors:

Shin W. Learning a Recursive Center-Embedding Rule and the Role of Test Method and Feedback</h1>. [Thesis]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/nc580k24h9w

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


University of Texas – Austin

9. Shah, Rishi Alpesh. Deep R learning for continual area sweeping.

Degree: MSin Computational Science, Engineering, and Mathematics, Computational Science, Engineering, and Mathematics, 2019, University of Texas – Austin

 In order to maintain robustness, autonomous robots need to constantly update their knowledge of the environment, which can be expensive when they are deployed in… (more)

Subjects/Keywords: Machine learning; Reinforcement learning; Robotics; Robot learning

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APA (6th Edition):

Shah, R. A. (2019). Deep R learning for continual area sweeping. (Masters Thesis). University of Texas – Austin. Retrieved from http://dx.doi.org/10.26153/tsw/8201

Chicago Manual of Style (16th Edition):

Shah, Rishi Alpesh. “Deep R learning for continual area sweeping.” 2019. Masters Thesis, University of Texas – Austin. Accessed September 20, 2020. http://dx.doi.org/10.26153/tsw/8201.

MLA Handbook (7th Edition):

Shah, Rishi Alpesh. “Deep R learning for continual area sweeping.” 2019. Web. 20 Sep 2020.

Vancouver:

Shah RA. Deep R learning for continual area sweeping. [Internet] [Masters thesis]. University of Texas – Austin; 2019. [cited 2020 Sep 20]. Available from: http://dx.doi.org/10.26153/tsw/8201.

Council of Science Editors:

Shah RA. Deep R learning for continual area sweeping. [Masters Thesis]. University of Texas – Austin; 2019. Available from: http://dx.doi.org/10.26153/tsw/8201


University of Toronto

10. Makhzani, Alireza. Unsupervised Representation Learning with Autoencoders.

Degree: PhD, 2018, University of Toronto

 Despite the recent progress in machine learning and deep learning, unsupervised learning still remains a largely unsolved problem. It is widely recognized that unsupervised learning(more)

Subjects/Keywords: Deep Learning; Machine Learning; Unsupervised Learning; 0984

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APA (6th Edition):

Makhzani, A. (2018). Unsupervised Representation Learning with Autoencoders. (Doctoral Dissertation). University of Toronto. Retrieved from http://hdl.handle.net/1807/89800

Chicago Manual of Style (16th Edition):

Makhzani, Alireza. “Unsupervised Representation Learning with Autoencoders.” 2018. Doctoral Dissertation, University of Toronto. Accessed September 20, 2020. http://hdl.handle.net/1807/89800.

MLA Handbook (7th Edition):

Makhzani, Alireza. “Unsupervised Representation Learning with Autoencoders.” 2018. Web. 20 Sep 2020.

Vancouver:

Makhzani A. Unsupervised Representation Learning with Autoencoders. [Internet] [Doctoral dissertation]. University of Toronto; 2018. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1807/89800.

Council of Science Editors:

Makhzani A. Unsupervised Representation Learning with Autoencoders. [Doctoral Dissertation]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/89800


University of Waterloo

11. Lin, Ying-Hsin. Characterizing Colour-Word Contingency Learning.

Degree: 2015, University of Waterloo

 Contingencies are constantly found in everyday situations and humans are extraordinarily adept at learning them, whether implicitly or explicitly. The learning of contingencies can benefit… (more)

Subjects/Keywords: psychology; cognition; learning; implicit learning; contingency learning

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APA (6th Edition):

Lin, Y. (2015). Characterizing Colour-Word Contingency Learning. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/9279

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, Ying-Hsin. “Characterizing Colour-Word Contingency Learning.” 2015. Thesis, University of Waterloo. Accessed September 20, 2020. http://hdl.handle.net/10012/9279.

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

MLA Handbook (7th Edition):

Lin, Ying-Hsin. “Characterizing Colour-Word Contingency Learning.” 2015. Web. 20 Sep 2020.

Vancouver:

Lin Y. Characterizing Colour-Word Contingency Learning. [Internet] [Thesis]. University of Waterloo; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10012/9279.

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

Council of Science Editors:

Lin Y. Characterizing Colour-Word Contingency Learning. [Thesis]. University of Waterloo; 2015. Available from: http://hdl.handle.net/10012/9279

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


University of Georgia

12. Hong, Sunjoo. Factors and issues supporting learning communities among distance learners.

Degree: 2014, University of Georgia

 The purpose of this study was to investigate sources and processes that impacted community building among distance learners enrolled in an online cohort program within… (more)

Subjects/Keywords: Online learning; Distance learning; Learning communities; Community

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APA (6th Edition):

Hong, S. (2014). Factors and issues supporting learning communities among distance learners. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/21531

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):

Hong, Sunjoo. “Factors and issues supporting learning communities among distance learners.” 2014. Thesis, University of Georgia. Accessed September 20, 2020. http://hdl.handle.net/10724/21531.

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

MLA Handbook (7th Edition):

Hong, Sunjoo. “Factors and issues supporting learning communities among distance learners.” 2014. Web. 20 Sep 2020.

Vancouver:

Hong S. Factors and issues supporting learning communities among distance learners. [Internet] [Thesis]. University of Georgia; 2014. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10724/21531.

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

Council of Science Editors:

Hong S. Factors and issues supporting learning communities among distance learners. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/21531

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


Oregon State University

13. Mehta, Neville. Hierarchical structure discovery and transfer in sequential decision problems.

Degree: PhD, Computer Science, 2011, Oregon State University

 Acting intelligently to efficiently solve sequential decision problems requires the ability to extract hierarchical structure from the underlying domain dynamics, exploit it for optimal or… (more)

Subjects/Keywords: hierarchical reinforcement learning; Reinforcement learning

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APA (6th Edition):

Mehta, N. (2011). Hierarchical structure discovery and transfer in sequential decision problems. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/25199

Chicago Manual of Style (16th Edition):

Mehta, Neville. “Hierarchical structure discovery and transfer in sequential decision problems.” 2011. Doctoral Dissertation, Oregon State University. Accessed September 20, 2020. http://hdl.handle.net/1957/25199.

MLA Handbook (7th Edition):

Mehta, Neville. “Hierarchical structure discovery and transfer in sequential decision problems.” 2011. Web. 20 Sep 2020.

Vancouver:

Mehta N. Hierarchical structure discovery and transfer in sequential decision problems. [Internet] [Doctoral dissertation]. Oregon State University; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1957/25199.

Council of Science Editors:

Mehta N. Hierarchical structure discovery and transfer in sequential decision problems. [Doctoral Dissertation]. Oregon State University; 2011. Available from: http://hdl.handle.net/1957/25199


Oregon State University

14. 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 (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 September 20, 2020. http://hdl.handle.net/1957/59159.

MLA Handbook (7th Edition):

Liu, Liping. “Machine Learning Methods for Computational Sustainability.” 2016. Web. 20 Sep 2020.

Vancouver:

Liu L. Machine Learning Methods for Computational Sustainability. [Internet] [Doctoral dissertation]. Oregon State University; 2016. [cited 2020 Sep 20]. 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


Georgia Tech

15. Bullard, Kalesha. Managing learning interactions for collaborative robot learning.

Degree: PhD, Interactive Computing, 2019, Georgia Tech

 Robotic assistants should be able to actively engage their human partner(s) to generalize knowledge about relevant tasks within their shared environment. Yet a key challenge… (more)

Subjects/Keywords: Interactive robot learning; Active learning

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APA (6th Edition):

Bullard, K. (2019). Managing learning interactions for collaborative robot learning. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/62294

Chicago Manual of Style (16th Edition):

Bullard, Kalesha. “Managing learning interactions for collaborative robot learning.” 2019. Doctoral Dissertation, Georgia Tech. Accessed September 20, 2020. http://hdl.handle.net/1853/62294.

MLA Handbook (7th Edition):

Bullard, Kalesha. “Managing learning interactions for collaborative robot learning.” 2019. Web. 20 Sep 2020.

Vancouver:

Bullard K. Managing learning interactions for collaborative robot learning. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1853/62294.

Council of Science Editors:

Bullard K. Managing learning interactions for collaborative robot learning. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/62294


Cornell University

16. Lenz, Ian. Deep Learning For Robotics.

Degree: PhD, Computer Science, 2016, Cornell University

 Robotics faces many unique challenges as robotic platforms move out of the lab and into the real world. In particular, the huge amount of variety… (more)

Subjects/Keywords: Robotics; Machine learning; Deep learning

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APA (6th Edition):

Lenz, I. (2016). Deep Learning For Robotics. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/44317

Chicago Manual of Style (16th Edition):

Lenz, Ian. “Deep Learning For Robotics.” 2016. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/44317.

MLA Handbook (7th Edition):

Lenz, Ian. “Deep Learning For Robotics.” 2016. Web. 20 Sep 2020.

Vancouver:

Lenz I. Deep Learning For Robotics. [Internet] [Doctoral dissertation]. Cornell University; 2016. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/44317.

Council of Science Editors:

Lenz I. Deep Learning For Robotics. [Doctoral Dissertation]. Cornell University; 2016. Available from: http://hdl.handle.net/1813/44317


Cornell University

17. Jiang, Yun. Hallucinated Humans: Learning Latent Factors To Model 3D Environments.

Degree: PhD, Computer Science, 2015, Cornell University

 The ability to correctly reason about human environment is critical for personal robots. For example, if a robot is asked to tidy a room, it… (more)

Subjects/Keywords: Robotics; Machine learning; nonparametric learning

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APA (6th Edition):

Jiang, Y. (2015). Hallucinated Humans: Learning Latent Factors To Model 3D Environments. (Doctoral Dissertation). Cornell University. Retrieved from http://hdl.handle.net/1813/41178

Chicago Manual of Style (16th Edition):

Jiang, Yun. “Hallucinated Humans: Learning Latent Factors To Model 3D Environments.” 2015. Doctoral Dissertation, Cornell University. Accessed September 20, 2020. http://hdl.handle.net/1813/41178.

MLA Handbook (7th Edition):

Jiang, Yun. “Hallucinated Humans: Learning Latent Factors To Model 3D Environments.” 2015. Web. 20 Sep 2020.

Vancouver:

Jiang Y. Hallucinated Humans: Learning Latent Factors To Model 3D Environments. [Internet] [Doctoral dissertation]. Cornell University; 2015. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1813/41178.

Council of Science Editors:

Jiang Y. Hallucinated Humans: Learning Latent Factors To Model 3D Environments. [Doctoral Dissertation]. Cornell University; 2015. Available from: http://hdl.handle.net/1813/41178

18. Smith Budhai, Stephanie. A symbiotic relationship? exploring the relationships between college students and community partners who engage in a shared service-learning project.

Degree: 2012, Drexel University

Broadly defined as the combination and/or integration of participation in a community service activity with formal learning and reflection (Clark, 1999; Reising, Allen, & Hall,… (more)

Subjects/Keywords: Education; Service learning; Experiential learning

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APA (6th Edition):

Smith Budhai, S. (2012). A symbiotic relationship? exploring the relationships between college students and community partners who engage in a shared service-learning project. (Thesis). Drexel University. Retrieved from http://hdl.handle.net/1860/4000

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):

Smith Budhai, Stephanie. “A symbiotic relationship? exploring the relationships between college students and community partners who engage in a shared service-learning project.” 2012. Thesis, Drexel University. Accessed September 20, 2020. http://hdl.handle.net/1860/4000.

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

MLA Handbook (7th Edition):

Smith Budhai, Stephanie. “A symbiotic relationship? exploring the relationships between college students and community partners who engage in a shared service-learning project.” 2012. Web. 20 Sep 2020.

Vancouver:

Smith Budhai S. A symbiotic relationship? exploring the relationships between college students and community partners who engage in a shared service-learning project. [Internet] [Thesis]. Drexel University; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1860/4000.

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

Council of Science Editors:

Smith Budhai S. A symbiotic relationship? exploring the relationships between college students and community partners who engage in a shared service-learning project. [Thesis]. Drexel University; 2012. Available from: http://hdl.handle.net/1860/4000

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


University of Edinburgh

19. McConville, Dan. Evidence of Encapsulated Learning Systems in an Alternating Serial Reaction Time Task.

Degree: 2011, University of Edinburgh

 A model of learning systems that has received wide acknowledgment is that promulgated by Squire (1992). The model describes explicit and implicit learning systems as… (more)

Subjects/Keywords: Encapsulated learning systems; Procedural learning

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APA (6th Edition):

McConville, D. (2011). Evidence of Encapsulated Learning Systems in an Alternating Serial Reaction Time Task. (Thesis). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/6127

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):

McConville, Dan. “Evidence of Encapsulated Learning Systems in an Alternating Serial Reaction Time Task.” 2011. Thesis, University of Edinburgh. Accessed September 20, 2020. http://hdl.handle.net/1842/6127.

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

MLA Handbook (7th Edition):

McConville, Dan. “Evidence of Encapsulated Learning Systems in an Alternating Serial Reaction Time Task.” 2011. Web. 20 Sep 2020.

Vancouver:

McConville D. Evidence of Encapsulated Learning Systems in an Alternating Serial Reaction Time Task. [Internet] [Thesis]. University of Edinburgh; 2011. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1842/6127.

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

Council of Science Editors:

McConville D. Evidence of Encapsulated Learning Systems in an Alternating Serial Reaction Time Task. [Thesis]. University of Edinburgh; 2011. Available from: http://hdl.handle.net/1842/6127

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


University of Johannesburg

20. Alston, Graham Ernest. A psycho-educational programme aimed at teachers to assist learners in accelerating learning.

Degree: 2009, University of Johannesburg

D.Ed.

Teachers do not easily identify or use the thinking skills (support skills) present in themselves in their planning activities. The learners equally when they… (more)

Subjects/Keywords: Psychology of learning; Learning evaluation

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

APA (6th Edition):

Alston, G. E. (2009). A psycho-educational programme aimed at teachers to assist learners in accelerating learning. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/2353

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):

Alston, Graham Ernest. “A psycho-educational programme aimed at teachers to assist learners in accelerating learning.” 2009. Thesis, University of Johannesburg. Accessed September 20, 2020. http://hdl.handle.net/10210/2353.

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

MLA Handbook (7th Edition):

Alston, Graham Ernest. “A psycho-educational programme aimed at teachers to assist learners in accelerating learning.” 2009. Web. 20 Sep 2020.

Vancouver:

Alston GE. A psycho-educational programme aimed at teachers to assist learners in accelerating learning. [Internet] [Thesis]. University of Johannesburg; 2009. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10210/2353.

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

Council of Science Editors:

Alston GE. A psycho-educational programme aimed at teachers to assist learners in accelerating learning. [Thesis]. University of Johannesburg; 2009. Available from: http://hdl.handle.net/10210/2353

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


University of Oklahoma

21. Hughes, Michael G. Promoting Adaptive Performance through Learner-Controlled Practice Difficulty and Individualized Challenge: A Latent Growth Modeling Approach.

Degree: PhD, 2012, University of Oklahoma

 In any learner-controlled, active learning environment, the choices one makes can influence both the objective training difficulty and individualized levels of trainee challenge faced during… (more)

Subjects/Keywords: Active learning; Learning, Psychology of

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

APA (6th Edition):

Hughes, M. G. (2012). Promoting Adaptive Performance through Learner-Controlled Practice Difficulty and Individualized Challenge: A Latent Growth Modeling Approach. (Doctoral Dissertation). University of Oklahoma. Retrieved from http://hdl.handle.net/11244/320207

Chicago Manual of Style (16th Edition):

Hughes, Michael G. “Promoting Adaptive Performance through Learner-Controlled Practice Difficulty and Individualized Challenge: A Latent Growth Modeling Approach.” 2012. Doctoral Dissertation, University of Oklahoma. Accessed September 20, 2020. http://hdl.handle.net/11244/320207.

MLA Handbook (7th Edition):

Hughes, Michael G. “Promoting Adaptive Performance through Learner-Controlled Practice Difficulty and Individualized Challenge: A Latent Growth Modeling Approach.” 2012. Web. 20 Sep 2020.

Vancouver:

Hughes MG. Promoting Adaptive Performance through Learner-Controlled Practice Difficulty and Individualized Challenge: A Latent Growth Modeling Approach. [Internet] [Doctoral dissertation]. University of Oklahoma; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11244/320207.

Council of Science Editors:

Hughes MG. Promoting Adaptive Performance through Learner-Controlled Practice Difficulty and Individualized Challenge: A Latent Growth Modeling Approach. [Doctoral Dissertation]. University of Oklahoma; 2012. Available from: http://hdl.handle.net/11244/320207


Oregon State University

22. Proper, Scott. Scaling multiagent reinforcement learning.

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

 Reinforcement learning in real-world domains suffers from three curses of dimensionality: explosions in state and action spaces, and high stochasticity or "outcome space" explosion. Multiagent… (more)

Subjects/Keywords: Reinforcement learning; Reinforcement learning

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APA (6th Edition):

Proper, S. (2009). Scaling multiagent reinforcement learning. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/13662

Chicago Manual of Style (16th Edition):

Proper, Scott. “Scaling multiagent reinforcement learning.” 2009. Doctoral Dissertation, Oregon State University. Accessed September 20, 2020. http://hdl.handle.net/1957/13662.

MLA Handbook (7th Edition):

Proper, Scott. “Scaling multiagent reinforcement learning.” 2009. Web. 20 Sep 2020.

Vancouver:

Proper S. Scaling multiagent reinforcement learning. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1957/13662.

Council of Science Editors:

Proper S. Scaling multiagent reinforcement learning. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/13662


Oregon State University

23. 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 (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 September 20, 2020. http://hdl.handle.net/1957/10191.

MLA Handbook (7th Edition):

Vatturi, Pavan Kumar. “Rare category detection using hierarchical mean shift.” 2009. Web. 20 Sep 2020.

Vancouver:

Vatturi PK. Rare category detection using hierarchical mean shift. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2020 Sep 20]. 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

24. Hao, Guohua. Revisiting output coding for sequential supervised learning.

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

 Markov models are commonly used for joint inference of label sequences. Unfortunately, inference scales quadratically in the number of labels, which is problematic for training… (more)

Subjects/Keywords: ECOC; Supervised learning (Machine learning)

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APA (6th Edition):

Hao, G. (2009). Revisiting output coding for sequential supervised learning. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/10897

Chicago Manual of Style (16th Edition):

Hao, Guohua. “Revisiting output coding for sequential supervised learning.” 2009. Masters Thesis, Oregon State University. Accessed September 20, 2020. http://hdl.handle.net/1957/10897.

MLA Handbook (7th Edition):

Hao, Guohua. “Revisiting output coding for sequential supervised learning.” 2009. Web. 20 Sep 2020.

Vancouver:

Hao G. Revisiting output coding for sequential supervised learning. [Internet] [Masters thesis]. Oregon State University; 2009. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1957/10897.

Council of Science Editors:

Hao G. Revisiting output coding for sequential supervised learning. [Masters Thesis]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/10897


Oregon State University

25. 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 September 20, 2020. http://hdl.handle.net/1957/12549.

MLA Handbook (7th Edition):

Bao, Xinlong. “Applying machine learning for prediction, recommendation, and integration.” 2009. Web. 20 Sep 2020.

Vancouver:

Bao X. Applying machine learning for prediction, recommendation, and integration. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2020 Sep 20]. 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


University of Namibia

26. Nyambe Kamwi John. Teacher educators' interpretation and practice of learner-centred pedagogy .

Degree: 2008, University of Namibia

 The objective of this study was to understand how teacher educators in a Namibian college of education interpret and practice the learner-centred pedagogy underpinning the… (more)

Subjects/Keywords: Student- centred learning ; Learning ; Teaching

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APA (6th Edition):

John, N. K. (2008). Teacher educators' interpretation and practice of learner-centred pedagogy . (Thesis). University of Namibia. Retrieved from http://hdl.handle.net/11070/559

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):

John, Nyambe Kamwi. “Teacher educators' interpretation and practice of learner-centred pedagogy .” 2008. Thesis, University of Namibia. Accessed September 20, 2020. http://hdl.handle.net/11070/559.

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

MLA Handbook (7th Edition):

John, Nyambe Kamwi. “Teacher educators' interpretation and practice of learner-centred pedagogy .” 2008. Web. 20 Sep 2020.

Vancouver:

John NK. Teacher educators' interpretation and practice of learner-centred pedagogy . [Internet] [Thesis]. University of Namibia; 2008. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/11070/559.

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

Council of Science Editors:

John NK. Teacher educators' interpretation and practice of learner-centred pedagogy . [Thesis]. University of Namibia; 2008. Available from: http://hdl.handle.net/11070/559

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


University of KwaZulu-Natal

27. Govender, Lishen. Determination of quantum entanglement concurrence using multilayer perceptron neural networks.

Degree: 2017, University of KwaZulu-Natal

 Artificial Neural Networks, inspired by biological neural networks, have seen widespread implementations across all research areas in the past few years. This partly due to… (more)

Subjects/Keywords: Deep learning.; Machine learning.

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APA (6th Edition):

Govender, L. (2017). Determination of quantum entanglement concurrence using multilayer perceptron neural networks. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/15713

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):

Govender, Lishen. “Determination of quantum entanglement concurrence using multilayer perceptron neural networks.” 2017. Thesis, University of KwaZulu-Natal. Accessed September 20, 2020. http://hdl.handle.net/10413/15713.

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

MLA Handbook (7th Edition):

Govender, Lishen. “Determination of quantum entanglement concurrence using multilayer perceptron neural networks.” 2017. Web. 20 Sep 2020.

Vancouver:

Govender L. Determination of quantum entanglement concurrence using multilayer perceptron neural networks. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/10413/15713.

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

Council of Science Editors:

Govender L. Determination of quantum entanglement concurrence using multilayer perceptron neural networks. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/15713

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


Oregon State University

28. Wilson, Aaron (Aaron Creighton). Bayesian methods for knowledge transfer and policy search in reinforcement learning.

Degree: PhD, Computer Science, 2012, Oregon State University

 How can an agent generalize its knowledge to new circumstances? To learn effectively an agent acting in a sequential decision problem must make intelligent action… (more)

Subjects/Keywords: Machine Learning; Reinforcement learning

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APA (6th Edition):

Wilson, A. (. C. (2012). Bayesian methods for knowledge transfer and policy search in reinforcement learning. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/34550

Chicago Manual of Style (16th Edition):

Wilson, Aaron (Aaron Creighton). “Bayesian methods for knowledge transfer and policy search in reinforcement learning.” 2012. Doctoral Dissertation, Oregon State University. Accessed September 20, 2020. http://hdl.handle.net/1957/34550.

MLA Handbook (7th Edition):

Wilson, Aaron (Aaron Creighton). “Bayesian methods for knowledge transfer and policy search in reinforcement learning.” 2012. Web. 20 Sep 2020.

Vancouver:

Wilson A(C. Bayesian methods for knowledge transfer and policy search in reinforcement learning. [Internet] [Doctoral dissertation]. Oregon State University; 2012. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1957/34550.

Council of Science Editors:

Wilson A(C. Bayesian methods for knowledge transfer and policy search in reinforcement learning. [Doctoral Dissertation]. Oregon State University; 2012. Available from: http://hdl.handle.net/1957/34550


Oregon State University

29. 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 (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 September 20, 2020. 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. 20 Sep 2020.

Vancouver:

Hooper S. Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale. [Internet] [Masters thesis]. Oregon State University; 2017. [cited 2020 Sep 20]. 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


Texas A&M University

30. Kapale, Anurag. An Automated Framework To Generate End-to-End Machine Learning Pipelines.

Degree: MS, Computer Science, 2019, Texas A&M University

 The recent developments in machine learning have shown its applicability in numerous real-world applications. However, building an optimal machine learning pipeline requires considerable knowledge and… (more)

Subjects/Keywords: Machine Learning; Automated Machine Learning

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APA (6th Edition):

Kapale, A. (2019). An Automated Framework To Generate End-to-End Machine Learning Pipelines. (Masters Thesis). Texas A&M University. Retrieved from http://hdl.handle.net/1969.1/188756

Chicago Manual of Style (16th Edition):

Kapale, Anurag. “An Automated Framework To Generate End-to-End Machine Learning Pipelines.” 2019. Masters Thesis, Texas A&M University. Accessed September 20, 2020. http://hdl.handle.net/1969.1/188756.

MLA Handbook (7th Edition):

Kapale, Anurag. “An Automated Framework To Generate End-to-End Machine Learning Pipelines.” 2019. Web. 20 Sep 2020.

Vancouver:

Kapale A. An Automated Framework To Generate End-to-End Machine Learning Pipelines. [Internet] [Masters thesis]. Texas A&M University; 2019. [cited 2020 Sep 20]. Available from: http://hdl.handle.net/1969.1/188756.

Council of Science Editors:

Kapale A. An Automated Framework To Generate End-to-End Machine Learning Pipelines. [Masters Thesis]. Texas A&M University; 2019. Available from: http://hdl.handle.net/1969.1/188756

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