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You searched for +publisher:"University of Arizona" +contributor:("Morrison, Clayton"). Showing records 1 – 24 of 24 total matches.

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University of Arizona

1. Dawson, Colin Reimer. HaMMLeT: An Infinite Hidden Markov Model with Local Transitions .

Degree: 2017, University of Arizona

 In classical mixture modeling, each data point is modeled as arising i.i.d. (typically) from a weighted sum of probability distributions. When data arises from different… (more)

Subjects/Keywords: Bayesian statistics; Machine learning; Time series modeling

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APA (6th Edition):

Dawson, C. R. (2017). HaMMLeT: An Infinite Hidden Markov Model with Local Transitions . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/626170

Chicago Manual of Style (16th Edition):

Dawson, Colin Reimer. “HaMMLeT: An Infinite Hidden Markov Model with Local Transitions .” 2017. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/626170.

MLA Handbook (7th Edition):

Dawson, Colin Reimer. “HaMMLeT: An Infinite Hidden Markov Model with Local Transitions .” 2017. Web. 13 Aug 2020.

Vancouver:

Dawson CR. HaMMLeT: An Infinite Hidden Markov Model with Local Transitions . [Internet] [Doctoral dissertation]. University of Arizona; 2017. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/626170.

Council of Science Editors:

Dawson CR. HaMMLeT: An Infinite Hidden Markov Model with Local Transitions . [Doctoral Dissertation]. University of Arizona; 2017. Available from: http://hdl.handle.net/10150/626170


University of Arizona

2. Noriega Atala, Enrique. An Evaluation Framework for Adaptive User Interface .

Degree: 2014, University of Arizona

 With the rise of powerful mobile devices and the broad availability of computing power, Automatic Speech Recognition is becoming ubiquitous. A flawless ASR system is… (more)

Subjects/Keywords: automatic speech recognition; expected utility; machine learning; rational user interfaces; Computer Science; adaptive user interfaces

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APA (6th Edition):

Noriega Atala, E. (2014). An Evaluation Framework for Adaptive User Interface . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/323226

Chicago Manual of Style (16th Edition):

Noriega Atala, Enrique. “An Evaluation Framework for Adaptive User Interface .” 2014. Masters Thesis, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/323226.

MLA Handbook (7th Edition):

Noriega Atala, Enrique. “An Evaluation Framework for Adaptive User Interface .” 2014. Web. 13 Aug 2020.

Vancouver:

Noriega Atala E. An Evaluation Framework for Adaptive User Interface . [Internet] [Masters thesis]. University of Arizona; 2014. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/323226.

Council of Science Editors:

Noriega Atala E. An Evaluation Framework for Adaptive User Interface . [Masters Thesis]. University of Arizona; 2014. Available from: http://hdl.handle.net/10150/323226


University of Arizona

3. Hein, Paul Douglas. Assembling Executable Scientific Models from Source Code and Free Text .

Degree: 2019, University of Arizona

 Modern science is increasingly driven by the use of computational models of complex systems implemented in software. This provides enormous opportunities, including increased precision in… (more)

Subjects/Keywords: Dataflow Programming; Model Assembly; Model Extraction; Program Translation; Scientific Modeling

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APA (6th Edition):

Hein, P. D. (2019). Assembling Executable Scientific Models from Source Code and Free Text . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/634301

Chicago Manual of Style (16th Edition):

Hein, Paul Douglas. “Assembling Executable Scientific Models from Source Code and Free Text .” 2019. Masters Thesis, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/634301.

MLA Handbook (7th Edition):

Hein, Paul Douglas. “Assembling Executable Scientific Models from Source Code and Free Text .” 2019. Web. 13 Aug 2020.

Vancouver:

Hein PD. Assembling Executable Scientific Models from Source Code and Free Text . [Internet] [Masters thesis]. University of Arizona; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/634301.

Council of Science Editors:

Hein PD. Assembling Executable Scientific Models from Source Code and Free Text . [Masters Thesis]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/634301


University of Arizona

4. Ruiz Duarte, Jose L. Sustainable Operations of Production and Service with Onsite Renewables Integration .

Degree: 2020, University of Arizona

 In this dissertation, we propose an approach to support sustainable operations management processes to improve the energy efficiency of manufacturing and service systems. The proposed… (more)

Subjects/Keywords: Energy Management; Onsite Renewables; Optimization; Sustainable Operations

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APA (6th Edition):

Ruiz Duarte, J. L. (2020). Sustainable Operations of Production and Service with Onsite Renewables Integration . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/641750

Chicago Manual of Style (16th Edition):

Ruiz Duarte, Jose L. “Sustainable Operations of Production and Service with Onsite Renewables Integration .” 2020. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/641750.

MLA Handbook (7th Edition):

Ruiz Duarte, Jose L. “Sustainable Operations of Production and Service with Onsite Renewables Integration .” 2020. Web. 13 Aug 2020.

Vancouver:

Ruiz Duarte JL. Sustainable Operations of Production and Service with Onsite Renewables Integration . [Internet] [Doctoral dissertation]. University of Arizona; 2020. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/641750.

Council of Science Editors:

Ruiz Duarte JL. Sustainable Operations of Production and Service with Onsite Renewables Integration . [Doctoral Dissertation]. University of Arizona; 2020. Available from: http://hdl.handle.net/10150/641750


University of Arizona

5. Simek, Kyle. Branching Gaussian Process Models for Computer Vision .

Degree: 2016, University of Arizona

 Bayesian methods provide a principled approach to some of the hardest problems in computer vision—low signal-to-noise ratios, ill-posed problems, and problems with missing data. This… (more)

Subjects/Keywords: Bayesian Inference; Branching Systems; Computer Vision; Expectation Propagation; Gaussian Process; Computer Science; 3D Reconstruction

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APA (6th Edition):

Simek, K. (2016). Branching Gaussian Process Models for Computer Vision . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/612094

Chicago Manual of Style (16th Edition):

Simek, Kyle. “Branching Gaussian Process Models for Computer Vision .” 2016. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/612094.

MLA Handbook (7th Edition):

Simek, Kyle. “Branching Gaussian Process Models for Computer Vision .” 2016. Web. 13 Aug 2020.

Vancouver:

Simek K. Branching Gaussian Process Models for Computer Vision . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/612094.

Council of Science Editors:

Simek K. Branching Gaussian Process Models for Computer Vision . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/612094


University of Arizona

6. Kharitonova, Yekaterina. Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System .

Degree: 2016, University of Arizona

 Presentation slides are now a de facto standard in most classroom lectures, business meetings, and conference talks. Until recently, electronic presentation materials have been disjointed… (more)

Subjects/Keywords: Computer Science

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APA (6th Edition):

Kharitonova, Y. (2016). Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/612447

Chicago Manual of Style (16th Edition):

Kharitonova, Yekaterina. “Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System .” 2016. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/612447.

MLA Handbook (7th Edition):

Kharitonova, Yekaterina. “Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System .” 2016. Web. 13 Aug 2020.

Vancouver:

Kharitonova Y. Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/612447.

Council of Science Editors:

Kharitonova Y. Geometry of Presentation Videos and Slides, and the Semantic Linking of Instructional Content (SLIC) System . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/612447


University of Arizona

7. Greene, Patrick. A Bayesian Approach to Spike Sorting of Neural Data via Source Localization .

Degree: 2018, University of Arizona

 This dissertation describes a novel mathematical algorithm for extracting spike data and positional information from extracellular electrophysiological neural recordings. By capturing the electrical signals emitted… (more)

Subjects/Keywords: algorithms; electrodes; electrophysiology; extracellular recordings; spikes; spike sorting

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APA (6th Edition):

Greene, P. (2018). A Bayesian Approach to Spike Sorting of Neural Data via Source Localization . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/628404

Chicago Manual of Style (16th Edition):

Greene, Patrick. “A Bayesian Approach to Spike Sorting of Neural Data via Source Localization .” 2018. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/628404.

MLA Handbook (7th Edition):

Greene, Patrick. “A Bayesian Approach to Spike Sorting of Neural Data via Source Localization .” 2018. Web. 13 Aug 2020.

Vancouver:

Greene P. A Bayesian Approach to Spike Sorting of Neural Data via Source Localization . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/628404.

Council of Science Editors:

Greene P. A Bayesian Approach to Spike Sorting of Neural Data via Source Localization . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/628404


University of Arizona

8. Hahn-Powell, Gus. Machine Reading for Scientific Discovery .

Degree: 2018, University of Arizona

 The aim of this work is to accelerate scientific discovery by advancing machine reading approaches designed to extract claims and assertions made in the literature,… (more)

Subjects/Keywords: assembly; causal ordering; hypothesis generation; literature-based discovery; machine reading; Swanson linking

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APA (6th Edition):

Hahn-Powell, G. (2018). Machine Reading for Scientific Discovery . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/630562

Chicago Manual of Style (16th Edition):

Hahn-Powell, Gus. “Machine Reading for Scientific Discovery .” 2018. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/630562.

MLA Handbook (7th Edition):

Hahn-Powell, Gus. “Machine Reading for Scientific Discovery .” 2018. Web. 13 Aug 2020.

Vancouver:

Hahn-Powell G. Machine Reading for Scientific Discovery . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/630562.

Council of Science Editors:

Hahn-Powell G. Machine Reading for Scientific Discovery . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/630562


University of Arizona

9. Dudding, Katherine M. Recognition of Pain in the Neonate to Increase Effective Neonate to Nurse Communication .

Degree: 2018, University of Arizona

 Until the late 1980s, the healthcare standard assumption was that neonates did not experience pain. Currently, the neonatal mortality rate exceeds six/1,000 live births each… (more)

Subjects/Keywords: Communication; Neonate; Neonate to Nurse Communication; Nurse; Pain

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APA (6th Edition):

Dudding, K. M. (2018). Recognition of Pain in the Neonate to Increase Effective Neonate to Nurse Communication . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/631322

Chicago Manual of Style (16th Edition):

Dudding, Katherine M. “Recognition of Pain in the Neonate to Increase Effective Neonate to Nurse Communication .” 2018. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/631322.

MLA Handbook (7th Edition):

Dudding, Katherine M. “Recognition of Pain in the Neonate to Increase Effective Neonate to Nurse Communication .” 2018. Web. 13 Aug 2020.

Vancouver:

Dudding KM. Recognition of Pain in the Neonate to Increase Effective Neonate to Nurse Communication . [Internet] [Doctoral dissertation]. University of Arizona; 2018. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/631322.

Council of Science Editors:

Dudding KM. Recognition of Pain in the Neonate to Increase Effective Neonate to Nurse Communication . [Doctoral Dissertation]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/631322


University of Arizona

10. Meyer, Josh. Multi-Task and Transfer Learning in Low-Resource Speech Recognition .

Degree: 2019, University of Arizona

 This thesis investigates methods for Acoustic Modeling in Automatic Speech Recog- nition, assuming limited access to training data in the target domain. The Acoustic Models… (more)

Subjects/Keywords: Automatic Speech Recognition; Deep Neural Networks; Low-Resource Languages; Multi-Task Learning; Transfer Learning

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APA (6th Edition):

Meyer, J. (2019). Multi-Task and Transfer Learning in Low-Resource Speech Recognition . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/634249

Chicago Manual of Style (16th Edition):

Meyer, Josh. “Multi-Task and Transfer Learning in Low-Resource Speech Recognition .” 2019. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/634249.

MLA Handbook (7th Edition):

Meyer, Josh. “Multi-Task and Transfer Learning in Low-Resource Speech Recognition .” 2019. Web. 13 Aug 2020.

Vancouver:

Meyer J. Multi-Task and Transfer Learning in Low-Resource Speech Recognition . [Internet] [Doctoral dissertation]. University of Arizona; 2019. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/634249.

Council of Science Editors:

Meyer J. Multi-Task and Transfer Learning in Low-Resource Speech Recognition . [Doctoral Dissertation]. University of Arizona; 2019. Available from: http://hdl.handle.net/10150/634249


University of Arizona

11. Sankararaman, Swaminathan. Efficient Geometric Algorithms for Wireless Networks .

Degree: 2011, University of Arizona

 Wireless communications has a wide range of applications including cellular telephones, wireless networking and security systems. Typical systems work through radio frequency communication and this… (more)

Subjects/Keywords: Computer Science

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APA (6th Edition):

Sankararaman, S. (2011). Efficient Geometric Algorithms for Wireless Networks . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/203439

Chicago Manual of Style (16th Edition):

Sankararaman, Swaminathan. “Efficient Geometric Algorithms for Wireless Networks .” 2011. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/203439.

MLA Handbook (7th Edition):

Sankararaman, Swaminathan. “Efficient Geometric Algorithms for Wireless Networks .” 2011. Web. 13 Aug 2020.

Vancouver:

Sankararaman S. Efficient Geometric Algorithms for Wireless Networks . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/203439.

Council of Science Editors:

Sankararaman S. Efficient Geometric Algorithms for Wireless Networks . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/203439


University of Arizona

12. Hewlett, Daniel Krishnan. A Framework for Recognizing and Executing Verb Phrases .

Degree: 2011, University of Arizona

 Today, the physical capabilities of robots enable them to perform a wide variety of useful tasks for humans, making the need for simple and intuitive… (more)

Subjects/Keywords: Computer Science

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APA (6th Edition):

Hewlett, D. K. (2011). A Framework for Recognizing and Executing Verb Phrases . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/203490

Chicago Manual of Style (16th Edition):

Hewlett, Daniel Krishnan. “A Framework for Recognizing and Executing Verb Phrases .” 2011. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/203490.

MLA Handbook (7th Edition):

Hewlett, Daniel Krishnan. “A Framework for Recognizing and Executing Verb Phrases .” 2011. Web. 13 Aug 2020.

Vancouver:

Hewlett DK. A Framework for Recognizing and Executing Verb Phrases . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/203490.

Council of Science Editors:

Hewlett DK. A Framework for Recognizing and Executing Verb Phrases . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/203490


University of Arizona

13. Rossi, Filippo. Emotional Sophistication: Studies of Facial Expressions in Games .

Degree: 2012, University of Arizona

 Decision-making is a complex process. Monetary incentives constitute one of the forces driving it, however the motivational space of decision-makers is much broader. We care… (more)

Subjects/Keywords: game theory; machine learning; neuroeconomics; Psychology; emotions; facial expressions

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APA (6th Edition):

Rossi, F. (2012). Emotional Sophistication: Studies of Facial Expressions in Games . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/268514

Chicago Manual of Style (16th Edition):

Rossi, Filippo. “Emotional Sophistication: Studies of Facial Expressions in Games .” 2012. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/268514.

MLA Handbook (7th Edition):

Rossi, Filippo. “Emotional Sophistication: Studies of Facial Expressions in Games .” 2012. Web. 13 Aug 2020.

Vancouver:

Rossi F. Emotional Sophistication: Studies of Facial Expressions in Games . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/268514.

Council of Science Editors:

Rossi F. Emotional Sophistication: Studies of Facial Expressions in Games . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/268514


University of Arizona

14. Del Pero, Luca. Top-Down Bayesian Modeling and Inference for Indoor Scenes .

Degree: 2013, University of Arizona

 People can understand the content of an image without effort. We can easily identify the objects in it, and figure out where they are in… (more)

Subjects/Keywords: Bayesian inference; Computer Vision; Indoor scenes; Object recognition; Scene understanding; Computer Science; 3D reconstruction

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APA (6th Edition):

Del Pero, L. (2013). Top-Down Bayesian Modeling and Inference for Indoor Scenes . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/297040

Chicago Manual of Style (16th Edition):

Del Pero, Luca. “Top-Down Bayesian Modeling and Inference for Indoor Scenes .” 2013. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/297040.

MLA Handbook (7th Edition):

Del Pero, Luca. “Top-Down Bayesian Modeling and Inference for Indoor Scenes .” 2013. Web. 13 Aug 2020.

Vancouver:

Del Pero L. Top-Down Bayesian Modeling and Inference for Indoor Scenes . [Internet] [Doctoral dissertation]. University of Arizona; 2013. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/297040.

Council of Science Editors:

Del Pero L. Top-Down Bayesian Modeling and Inference for Indoor Scenes . [Doctoral Dissertation]. University of Arizona; 2013. Available from: http://hdl.handle.net/10150/297040


University of Arizona

15. Brau Avila, Ernesto. Bayesian Data Association for Temporal Scene Understanding .

Degree: 2013, University of Arizona

 Understanding the content of a video sequence is not a particularly difficult problem for humans. We can easily identify objects, such as people, and track… (more)

Subjects/Keywords: Data association; MCMC; Multiple target tracking; Scene understanding; Computer Science; Bayesian inference

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APA (6th Edition):

Brau Avila, E. (2013). Bayesian Data Association for Temporal Scene Understanding . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/312653

Chicago Manual of Style (16th Edition):

Brau Avila, Ernesto. “Bayesian Data Association for Temporal Scene Understanding .” 2013. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/312653.

MLA Handbook (7th Edition):

Brau Avila, Ernesto. “Bayesian Data Association for Temporal Scene Understanding .” 2013. Web. 13 Aug 2020.

Vancouver:

Brau Avila E. Bayesian Data Association for Temporal Scene Understanding . [Internet] [Doctoral dissertation]. University of Arizona; 2013. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/312653.

Council of Science Editors:

Brau Avila E. Bayesian Data Association for Temporal Scene Understanding . [Doctoral Dissertation]. University of Arizona; 2013. Available from: http://hdl.handle.net/10150/312653


University of Arizona

16. Guan, Jinyan. Bayesian Generative Modeling of Complex Dynamical Systems .

Degree: 2016, University of Arizona

 This dissertation presents a Bayesian generative modeling approach for complex dynamical systems for emotion-interaction patterns within multivariate data collected in social psychology studies. While dynamical… (more)

Subjects/Keywords: Computational Models for Emotion; Dynamical Systems; Monte Carlo Markov Chain Sampling; Probabilistic Models; Computer Science; Bayesian Generative Models

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APA (6th Edition):

Guan, J. (2016). Bayesian Generative Modeling of Complex Dynamical Systems . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/612950

Chicago Manual of Style (16th Edition):

Guan, Jinyan. “Bayesian Generative Modeling of Complex Dynamical Systems .” 2016. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/612950.

MLA Handbook (7th Edition):

Guan, Jinyan. “Bayesian Generative Modeling of Complex Dynamical Systems .” 2016. Web. 13 Aug 2020.

Vancouver:

Guan J. Bayesian Generative Modeling of Complex Dynamical Systems . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/612950.

Council of Science Editors:

Guan J. Bayesian Generative Modeling of Complex Dynamical Systems . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/612950


University of Arizona

17. Green, Derek Tannell. INTELLIGENT TUTORING SYSTEMS FOR SKILL ACQUISITION .

Degree: 2011, University of Arizona

 Throughout history education has been restricted to a relatively small percentage of the world's population. The cause can be attributed to a number of factors;… (more)

Subjects/Keywords: teaching; Computer Science; intelligent tutoring system; learning

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APA (6th Edition):

Green, D. T. (2011). INTELLIGENT TUTORING SYSTEMS FOR SKILL ACQUISITION . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/203476

Chicago Manual of Style (16th Edition):

Green, Derek Tannell. “INTELLIGENT TUTORING SYSTEMS FOR SKILL ACQUISITION .” 2011. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/203476.

MLA Handbook (7th Edition):

Green, Derek Tannell. “INTELLIGENT TUTORING SYSTEMS FOR SKILL ACQUISITION .” 2011. Web. 13 Aug 2020.

Vancouver:

Green DT. INTELLIGENT TUTORING SYSTEMS FOR SKILL ACQUISITION . [Internet] [Doctoral dissertation]. University of Arizona; 2011. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/203476.

Council of Science Editors:

Green DT. INTELLIGENT TUTORING SYSTEMS FOR SKILL ACQUISITION . [Doctoral Dissertation]. University of Arizona; 2011. Available from: http://hdl.handle.net/10150/203476


University of Arizona

18. Cirett Galan, Federico M. Using Real-Time Physiological and Behavioral Data to Predict Students' Engagement during Problem Solving: A Machine Learning Approach .

Degree: 2012, University of Arizona

 The goal of this study was to evaluate whether Electroencephalography (EEG) estimates of attention and cognitive workload captured as students solved math problems could be… (more)

Subjects/Keywords: Intelligent Tutoring Systems; Machine Learning; physiology; Computer Science; behavior; Electroencephalography

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APA (6th Edition):

Cirett Galan, F. M. (2012). Using Real-Time Physiological and Behavioral Data to Predict Students' Engagement during Problem Solving: A Machine Learning Approach . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/241971

Chicago Manual of Style (16th Edition):

Cirett Galan, Federico M. “Using Real-Time Physiological and Behavioral Data to Predict Students' Engagement during Problem Solving: A Machine Learning Approach .” 2012. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/241971.

MLA Handbook (7th Edition):

Cirett Galan, Federico M. “Using Real-Time Physiological and Behavioral Data to Predict Students' Engagement during Problem Solving: A Machine Learning Approach .” 2012. Web. 13 Aug 2020.

Vancouver:

Cirett Galan FM. Using Real-Time Physiological and Behavioral Data to Predict Students' Engagement during Problem Solving: A Machine Learning Approach . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/241971.

Council of Science Editors:

Cirett Galan FM. Using Real-Time Physiological and Behavioral Data to Predict Students' Engagement during Problem Solving: A Machine Learning Approach . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/241971


University of Arizona

19. Taheri, Javad. Leadership in Message Interpretation Networks .

Degree: 2012, University of Arizona

 We study a message passing network where nodes keep a numeric attitude toward a subject. Messages are created by a message factory and each is… (more)

Subjects/Keywords: Leadership; Message Interpretation; Social network; Two-player games; Computer Science; Attitude; Community Structure

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APA (6th Edition):

Taheri, J. (2012). Leadership in Message Interpretation Networks . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/265812

Chicago Manual of Style (16th Edition):

Taheri, Javad. “Leadership in Message Interpretation Networks .” 2012. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/265812.

MLA Handbook (7th Edition):

Taheri, Javad. “Leadership in Message Interpretation Networks .” 2012. Web. 13 Aug 2020.

Vancouver:

Taheri J. Leadership in Message Interpretation Networks . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/265812.

Council of Science Editors:

Taheri J. Leadership in Message Interpretation Networks . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/265812

20. Predoehl, Andrew. A Statistical Model of Recreational Trails .

Degree: 2016, University of Arizona

 We present a statistical model of recreational trails, and a method to infer trail routes from geophysical data, namely aerial imagery and terrain elevation. We… (more)

Subjects/Keywords: Bayesian models; Computer vision; Digital elevation models; Generative models; Image processing; Computer Science; Aerial imagery

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APA (6th Edition):

Predoehl, A. (2016). A Statistical Model of Recreational Trails . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/612599

Chicago Manual of Style (16th Edition):

Predoehl, Andrew. “A Statistical Model of Recreational Trails .” 2016. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/612599.

MLA Handbook (7th Edition):

Predoehl, Andrew. “A Statistical Model of Recreational Trails .” 2016. Web. 13 Aug 2020.

Vancouver:

Predoehl A. A Statistical Model of Recreational Trails . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/612599.

Council of Science Editors:

Predoehl A. A Statistical Model of Recreational Trails . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/612599

21. Valenzuela Escárcega, Marco Antonio. Interpretable Models for Information Extraction .

Degree: 2016, University of Arizona

 There is an abundance of information being generated constantly, most of it encoded as unstructured text. The information expressed this way, although publicly available, is… (more)

Subjects/Keywords: Computer Science; information extraction

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APA (6th Edition):

Valenzuela Escárcega, M. A. (2016). Interpretable Models for Information Extraction . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/613348

Chicago Manual of Style (16th Edition):

Valenzuela Escárcega, Marco Antonio. “Interpretable Models for Information Extraction .” 2016. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/613348.

MLA Handbook (7th Edition):

Valenzuela Escárcega, Marco Antonio. “Interpretable Models for Information Extraction .” 2016. Web. 13 Aug 2020.

Vancouver:

Valenzuela Escárcega MA. Interpretable Models for Information Extraction . [Internet] [Doctoral dissertation]. University of Arizona; 2016. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/613348.

Council of Science Editors:

Valenzuela Escárcega MA. Interpretable Models for Information Extraction . [Doctoral Dissertation]. University of Arizona; 2016. Available from: http://hdl.handle.net/10150/613348

22. Mejia, Maria Helena. Human Action Recognition on Videos: Different Approaches .

Degree: 2012, University of Arizona

 The goal of human action recognition on videos is to determine in an automatic way what is happening in a video. This work focuses on… (more)

Subjects/Keywords: Gesture Recognition; Machine learning; Computer Science; Activity recognition; Computer vision

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APA (6th Edition):

Mejia, M. H. (2012). Human Action Recognition on Videos: Different Approaches . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/265361

Chicago Manual of Style (16th Edition):

Mejia, Maria Helena. “Human Action Recognition on Videos: Different Approaches .” 2012. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/265361.

MLA Handbook (7th Edition):

Mejia, Maria Helena. “Human Action Recognition on Videos: Different Approaches .” 2012. Web. 13 Aug 2020.

Vancouver:

Mejia MH. Human Action Recognition on Videos: Different Approaches . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/265361.

Council of Science Editors:

Mejia MH. Human Action Recognition on Videos: Different Approaches . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/265361

23. Berry, Jeffrey James. Machine Learning Methods for Articulatory Data .

Degree: 2012, University of Arizona

 Humans make use of more than just the audio signal to perceive speech. Behavioral and neurological research has shown that a person's knowledge of how… (more)

Subjects/Keywords: Conditional Random Fields; Deep Belief Networks; Machine Learning; Ultrasound Imaging; Linguistics; Articulatory Speech Data; Automatic Speech Recognition

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APA (6th Edition):

Berry, J. J. (2012). Machine Learning Methods for Articulatory Data . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/223348

Chicago Manual of Style (16th Edition):

Berry, Jeffrey James. “Machine Learning Methods for Articulatory Data .” 2012. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/223348.

MLA Handbook (7th Edition):

Berry, Jeffrey James. “Machine Learning Methods for Articulatory Data .” 2012. Web. 13 Aug 2020.

Vancouver:

Berry JJ. Machine Learning Methods for Articulatory Data . [Internet] [Doctoral dissertation]. University of Arizona; 2012. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/223348.

Council of Science Editors:

Berry JJ. Machine Learning Methods for Articulatory Data . [Doctoral Dissertation]. University of Arizona; 2012. Available from: http://hdl.handle.net/10150/223348


University of Arizona

24. Schlecht, Joseph. Learning 3-D Models of Object Structure from Images .

Degree: 2010, University of Arizona

 Recognizing objects in images is an effortless task for most people.Automating this task with computers, however, presents a difficult challengeattributable to large variations in object… (more)

Subjects/Keywords: 3-D Object recognition; Computer vision; Machine learning; MCMC sampling; Statistical inference

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APA (6th Edition):

Schlecht, J. (2010). Learning 3-D Models of Object Structure from Images . (Doctoral Dissertation). University of Arizona. Retrieved from http://hdl.handle.net/10150/194661

Chicago Manual of Style (16th Edition):

Schlecht, Joseph. “Learning 3-D Models of Object Structure from Images .” 2010. Doctoral Dissertation, University of Arizona. Accessed August 13, 2020. http://hdl.handle.net/10150/194661.

MLA Handbook (7th Edition):

Schlecht, Joseph. “Learning 3-D Models of Object Structure from Images .” 2010. Web. 13 Aug 2020.

Vancouver:

Schlecht J. Learning 3-D Models of Object Structure from Images . [Internet] [Doctoral dissertation]. University of Arizona; 2010. [cited 2020 Aug 13]. Available from: http://hdl.handle.net/10150/194661.

Council of Science Editors:

Schlecht J. Learning 3-D Models of Object Structure from Images . [Doctoral Dissertation]. University of Arizona; 2010. Available from: http://hdl.handle.net/10150/194661

.