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You searched for +publisher:"University of Colorado" +contributor:("Michael C. Mozer"). Showing records 1 – 17 of 17 total matches.

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University of Colorado

1. Knights, Dan Brooke. Predictive Modeling of Metagenomes.

Degree: PhD, Computer Science, 2012, University of Colorado

  Human-associated microbial communities have been implicated in a variety of chronic diseases, including inflammatory bowel diseases, obesity, and autoimmune disorders like diabetes. Environmental communities… (more)

Subjects/Keywords: Computational biology; Machine learning; Metagenomes; Microbiomes; Bioinformatics; Computer Sciences; Microbiology

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APA (6th Edition):

Knights, D. B. (2012). Predictive Modeling of Metagenomes. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/35

Chicago Manual of Style (16th Edition):

Knights, Dan Brooke. “Predictive Modeling of Metagenomes.” 2012. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/csci_gradetds/35.

MLA Handbook (7th Edition):

Knights, Dan Brooke. “Predictive Modeling of Metagenomes.” 2012. Web. 05 Mar 2021.

Vancouver:

Knights DB. Predictive Modeling of Metagenomes. [Internet] [Doctoral dissertation]. University of Colorado; 2012. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/csci_gradetds/35.

Council of Science Editors:

Knights DB. Predictive Modeling of Metagenomes. [Doctoral Dissertation]. University of Colorado; 2012. Available from: https://scholar.colorado.edu/csci_gradetds/35


University of Colorado

2. Kazakov, Denis. State Denoised Recurrent Neural Networks.

Degree: MS, 2018, University of Colorado

 We investigate the use of attractor neural networks for denoising the internal states of another neural network, thereby boosting its generalization performance. Denoising is most… (more)

Subjects/Keywords: recurrent sequence-processing; denoising; information theoretic analysis; binary sequence; behavior; Applied Mathematics; Computer Sciences

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APA (6th Edition):

Kazakov, D. (2018). State Denoised Recurrent Neural Networks. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/112

Chicago Manual of Style (16th Edition):

Kazakov, Denis. “State Denoised Recurrent Neural Networks.” 2018. Masters Thesis, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/appm_gradetds/112.

MLA Handbook (7th Edition):

Kazakov, Denis. “State Denoised Recurrent Neural Networks.” 2018. Web. 05 Mar 2021.

Vancouver:

Kazakov D. State Denoised Recurrent Neural Networks. [Internet] [Masters thesis]. University of Colorado; 2018. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/appm_gradetds/112.

Council of Science Editors:

Kazakov D. State Denoised Recurrent Neural Networks. [Masters Thesis]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/appm_gradetds/112


University of Colorado

3. Saxena, Ankit. Design of a Computational Biomarker for Epileptogenesis: A Machine Learning Approach.

Degree: MS, Electrical, Computer & Energy Engineering, 2016, University of Colorado

  We describe here the recent results of a multidisciplinary effort to design a biomarker that can actively and continuously decode the progressive changes in… (more)

Subjects/Keywords: biomarker; dimension reduction; epilepsy; hidden Markov model; machine learning; mixture models; Biomedical; Computer Sciences

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APA (6th Edition):

Saxena, A. (2016). Design of a Computational Biomarker for Epileptogenesis: A Machine Learning Approach. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/ecen_gradetds/131

Chicago Manual of Style (16th Edition):

Saxena, Ankit. “Design of a Computational Biomarker for Epileptogenesis: A Machine Learning Approach.” 2016. Masters Thesis, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/ecen_gradetds/131.

MLA Handbook (7th Edition):

Saxena, Ankit. “Design of a Computational Biomarker for Epileptogenesis: A Machine Learning Approach.” 2016. Web. 05 Mar 2021.

Vancouver:

Saxena A. Design of a Computational Biomarker for Epileptogenesis: A Machine Learning Approach. [Internet] [Masters thesis]. University of Colorado; 2016. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/ecen_gradetds/131.

Council of Science Editors:

Saxena A. Design of a Computational Biomarker for Epileptogenesis: A Machine Learning Approach. [Masters Thesis]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/ecen_gradetds/131


University of Colorado

4. Sukumar, Shruthi. Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component.

Degree: MS, 2017, University of Colorado

 Markov Decision Processes (MDPs) are discrete-time random processes that provide a framework to model sequential decision problems in stochastic environments. However, the use of MDPs… (more)

Subjects/Keywords: behaviour; decision making; markov decision process; optimal control; value iteration; Applied Behavior Analysis; Electrical and Computer Engineering

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APA (6th Edition):

Sukumar, S. (2017). Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/ecen_gradetds/172

Chicago Manual of Style (16th Edition):

Sukumar, Shruthi. “Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component.” 2017. Masters Thesis, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/ecen_gradetds/172.

MLA Handbook (7th Edition):

Sukumar, Shruthi. “Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component.” 2017. Web. 05 Mar 2021.

Vancouver:

Sukumar S. Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/ecen_gradetds/172.

Council of Science Editors:

Sukumar S. Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/ecen_gradetds/172


University of Colorado

5. Maierhofer, Jeffrey Matthew. Lifetime Limited Memory Neural Networks.

Degree: MS, 2019, University of Colorado

  In the modern digital environment, many data sources can be characterized as event sequences. These event sequences describe a series of events and an… (more)

Subjects/Keywords: events; neural networks; prediction; recurrent neural networks; Applied Mathematics; Computer Sciences; Statistics and Probability

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APA (6th Edition):

Maierhofer, J. M. (2019). Lifetime Limited Memory Neural Networks. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/appm_gradetds/149

Chicago Manual of Style (16th Edition):

Maierhofer, Jeffrey Matthew. “Lifetime Limited Memory Neural Networks.” 2019. Masters Thesis, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/appm_gradetds/149.

MLA Handbook (7th Edition):

Maierhofer, Jeffrey Matthew. “Lifetime Limited Memory Neural Networks.” 2019. Web. 05 Mar 2021.

Vancouver:

Maierhofer JM. Lifetime Limited Memory Neural Networks. [Internet] [Masters thesis]. University of Colorado; 2019. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/appm_gradetds/149.

Council of Science Editors:

Maierhofer JM. Lifetime Limited Memory Neural Networks. [Masters Thesis]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/appm_gradetds/149


University of Colorado

6. Brown, Gregory Ichneumon. Relation Extraction on the J.D. Power and Associates Sentiment Corpus.

Degree: MS, Computer Science, 2011, University of Colorado

  Relation extraction is a means of determining relations between entities discussed in text. In this work we apply a number of existing and novel… (more)

Subjects/Keywords: Co-Reference Resolution; Information Extraction; Natural Language Processing; Relation Extraction; Computer Sciences; Linguistics

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APA (6th Edition):

Brown, G. I. (2011). Relation Extraction on the J.D. Power and Associates Sentiment Corpus. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/27

Chicago Manual of Style (16th Edition):

Brown, Gregory Ichneumon. “Relation Extraction on the J.D. Power and Associates Sentiment Corpus.” 2011. Masters Thesis, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/csci_gradetds/27.

MLA Handbook (7th Edition):

Brown, Gregory Ichneumon. “Relation Extraction on the J.D. Power and Associates Sentiment Corpus.” 2011. Web. 05 Mar 2021.

Vancouver:

Brown GI. Relation Extraction on the J.D. Power and Associates Sentiment Corpus. [Internet] [Masters thesis]. University of Colorado; 2011. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/csci_gradetds/27.

Council of Science Editors:

Brown GI. Relation Extraction on the J.D. Power and Associates Sentiment Corpus. [Masters Thesis]. University of Colorado; 2011. Available from: https://scholar.colorado.edu/csci_gradetds/27


University of Colorado

7. Canas, Fabian Francisco. Selective Attention as an Example of Building Representations within Reinforcement Learning.

Degree: MA, Psychology & Neuroscience, 2011, University of Colorado

  Humans demonstrate an incredible capacity to learn novel tasks in complex dynamic environments. Reinforcement learning (RL) has shown promise as a computational framework for… (more)

Subjects/Keywords: Attention; Modeling; Reinforcement Learning; Representation Learning; Cognitive Psychology; Computer Sciences

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APA (6th Edition):

Canas, F. F. (2011). Selective Attention as an Example of Building Representations within Reinforcement Learning. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/psyc_gradetds/17

Chicago Manual of Style (16th Edition):

Canas, Fabian Francisco. “Selective Attention as an Example of Building Representations within Reinforcement Learning.” 2011. Masters Thesis, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/psyc_gradetds/17.

MLA Handbook (7th Edition):

Canas, Fabian Francisco. “Selective Attention as an Example of Building Representations within Reinforcement Learning.” 2011. Web. 05 Mar 2021.

Vancouver:

Canas FF. Selective Attention as an Example of Building Representations within Reinforcement Learning. [Internet] [Masters thesis]. University of Colorado; 2011. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/psyc_gradetds/17.

Council of Science Editors:

Canas FF. Selective Attention as an Example of Building Representations within Reinforcement Learning. [Masters Thesis]. University of Colorado; 2011. Available from: https://scholar.colorado.edu/psyc_gradetds/17


University of Colorado

8. Roads, Brett David. Using Attentional Highlighting to Train Visual Expertise.

Degree: MS, Computer Science, 2013, University of Colorado

  Our goal is to develop a paradigm to train novices on complex visual tasks more efficiently. We explore the value of attentional highlighting – which… (more)

Subjects/Keywords: attentional highlighting; eye tracker; fingerprint; probabilistic model; training; visual expertise; Cognitive Psychology; Computer Sciences

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APA (6th Edition):

Roads, B. D. (2013). Using Attentional Highlighting to Train Visual Expertise. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/71

Chicago Manual of Style (16th Edition):

Roads, Brett David. “Using Attentional Highlighting to Train Visual Expertise.” 2013. Masters Thesis, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/csci_gradetds/71.

MLA Handbook (7th Edition):

Roads, Brett David. “Using Attentional Highlighting to Train Visual Expertise.” 2013. Web. 05 Mar 2021.

Vancouver:

Roads BD. Using Attentional Highlighting to Train Visual Expertise. [Internet] [Masters thesis]. University of Colorado; 2013. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/csci_gradetds/71.

Council of Science Editors:

Roads BD. Using Attentional Highlighting to Train Visual Expertise. [Masters Thesis]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/csci_gradetds/71


University of Colorado

9. Sukumar, Shruthi Sukumar. Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component.

Degree: MS, 2017, University of Colorado

  Markov Decision Processes (MDPs) are discrete-time random processes that provide a framework to model sequential decision problems in stochastic environments. However, the use of… (more)

Subjects/Keywords: behaviour; decision making; markov decision process; optimal control; value iteration; Electrical and Computer Engineering

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APA (6th Edition):

Sukumar, S. S. (2017). Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/eeng_gradetds/24

Chicago Manual of Style (16th Edition):

Sukumar, Shruthi Sukumar. “Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component.” 2017. Masters Thesis, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/eeng_gradetds/24.

MLA Handbook (7th Edition):

Sukumar, Shruthi Sukumar. “Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component.” 2017. Web. 05 Mar 2021.

Vancouver:

Sukumar SS. Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component. [Internet] [Masters thesis]. University of Colorado; 2017. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/eeng_gradetds/24.

Council of Science Editors:

Sukumar SS. Analysis and Solution of Markov Decision Problems with a Continuous, Stochastic State Component. [Masters Thesis]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/eeng_gradetds/24


University of Colorado

10. Ridgeway, Karl F. Content-Style Decomposition: Representation Discovery and Applications.

Degree: PhD, 2018, University of Colorado

 <i>Content-style decompositions</i>, or <i>CSDs</i>, decompose entities into content, defined by the entity's class, and <i>style</i>, defined as the remaining within-class variation. Content is typically defined… (more)

Subjects/Keywords: content-style decompositions; statistic; leakage filtering; class separation; image processing; Applied Statistics; Computer Sciences

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APA (6th Edition):

Ridgeway, K. F. (2018). Content-Style Decomposition: Representation Discovery and Applications. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/193

Chicago Manual of Style (16th Edition):

Ridgeway, Karl F. “Content-Style Decomposition: Representation Discovery and Applications.” 2018. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/csci_gradetds/193.

MLA Handbook (7th Edition):

Ridgeway, Karl F. “Content-Style Decomposition: Representation Discovery and Applications.” 2018. Web. 05 Mar 2021.

Vancouver:

Ridgeway KF. Content-Style Decomposition: Representation Discovery and Applications. [Internet] [Doctoral dissertation]. University of Colorado; 2018. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/csci_gradetds/193.

Council of Science Editors:

Ridgeway KF. Content-Style Decomposition: Representation Discovery and Applications. [Doctoral Dissertation]. University of Colorado; 2018. Available from: https://scholar.colorado.edu/csci_gradetds/193


University of Colorado

11. Kneusel, Ronald Thomas. Improving Human-Classifier Interaction through Enhanced Highlighting Techniques.

Degree: PhD, Computer Science, 2016, University of Colorado

  This dissertation is concerned with developing techniques to improve detection of target objects in digital imagery, e.g., satellite image analysis, airport baggage screening, and… (more)

Subjects/Keywords: deep learning; image perception; image processing; machine learning; visualization; Artificial Intelligence and Robotics; Graphics and Human Computer Interfaces

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APA (6th Edition):

Kneusel, R. T. (2016). Improving Human-Classifier Interaction through Enhanced Highlighting Techniques. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/118

Chicago Manual of Style (16th Edition):

Kneusel, Ronald Thomas. “Improving Human-Classifier Interaction through Enhanced Highlighting Techniques.” 2016. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/csci_gradetds/118.

MLA Handbook (7th Edition):

Kneusel, Ronald Thomas. “Improving Human-Classifier Interaction through Enhanced Highlighting Techniques.” 2016. Web. 05 Mar 2021.

Vancouver:

Kneusel RT. Improving Human-Classifier Interaction through Enhanced Highlighting Techniques. [Internet] [Doctoral dissertation]. University of Colorado; 2016. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/csci_gradetds/118.

Council of Science Editors:

Kneusel RT. Improving Human-Classifier Interaction through Enhanced Highlighting Techniques. [Doctoral Dissertation]. University of Colorado; 2016. Available from: https://scholar.colorado.edu/csci_gradetds/118


University of Colorado

12. Barker, Jane Elizabeth. How Do Children Begin to Engage Executive Functions in Self-directed Contexts? Modeling Environmental, Genetic, and Cognitive Processes Supporting Semantic Verbal Fluency.

Degree: PhD, 2017, University of Colorado

  Young children often struggle to accomplish their intended goals in a self-directed way, without instructions or reminders from adults. Although it is clear that… (more)

Subjects/Keywords: cognitive development; self-directed executive function; verbal fluency; switching; Cognitive Psychology; Developmental Psychology

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APA (6th Edition):

Barker, J. E. (2017). How Do Children Begin to Engage Executive Functions in Self-directed Contexts? Modeling Environmental, Genetic, and Cognitive Processes Supporting Semantic Verbal Fluency. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/psyc_gradetds/128

Chicago Manual of Style (16th Edition):

Barker, Jane Elizabeth. “How Do Children Begin to Engage Executive Functions in Self-directed Contexts? Modeling Environmental, Genetic, and Cognitive Processes Supporting Semantic Verbal Fluency.” 2017. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/psyc_gradetds/128.

MLA Handbook (7th Edition):

Barker, Jane Elizabeth. “How Do Children Begin to Engage Executive Functions in Self-directed Contexts? Modeling Environmental, Genetic, and Cognitive Processes Supporting Semantic Verbal Fluency.” 2017. Web. 05 Mar 2021.

Vancouver:

Barker JE. How Do Children Begin to Engage Executive Functions in Self-directed Contexts? Modeling Environmental, Genetic, and Cognitive Processes Supporting Semantic Verbal Fluency. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/psyc_gradetds/128.

Council of Science Editors:

Barker JE. How Do Children Begin to Engage Executive Functions in Self-directed Contexts? Modeling Environmental, Genetic, and Cognitive Processes Supporting Semantic Verbal Fluency. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/psyc_gradetds/128


University of Colorado

13. Lalchandani, Lakshmi Arjan. Elucidating the Cognitive Processes Involved in the Note-Taking Effect.

Degree: PhD, 2019, University of Colorado

  The fact that research on note taking extends as far back as the early 1900’s is unsurprising as it is a practice that is… (more)

Subjects/Keywords: attention; cognition; generative processing; note-taking; summarization; Cognitive Psychology; Education

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APA (6th Edition):

Lalchandani, L. A. (2019). Elucidating the Cognitive Processes Involved in the Note-Taking Effect. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/psyc_gradetds/152

Chicago Manual of Style (16th Edition):

Lalchandani, Lakshmi Arjan. “Elucidating the Cognitive Processes Involved in the Note-Taking Effect.” 2019. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/psyc_gradetds/152.

MLA Handbook (7th Edition):

Lalchandani, Lakshmi Arjan. “Elucidating the Cognitive Processes Involved in the Note-Taking Effect.” 2019. Web. 05 Mar 2021.

Vancouver:

Lalchandani LA. Elucidating the Cognitive Processes Involved in the Note-Taking Effect. [Internet] [Doctoral dissertation]. University of Colorado; 2019. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/psyc_gradetds/152.

Council of Science Editors:

Lalchandani LA. Elucidating the Cognitive Processes Involved in the Note-Taking Effect. [Doctoral Dissertation]. University of Colorado; 2019. Available from: https://scholar.colorado.edu/psyc_gradetds/152


University of Colorado

14. Wilder, Matthew H. Probabilistic Modeling of Sequential Effects in Human Behavior: Theory and Practical Applications.

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

  Whether driving a car, making critical medical decisions in the ER, answering questions in a marketing survey, or selecting shots in a basketball game,… (more)

Subjects/Keywords: adaptation; bayesian modeling; choice tasks; motor learning; reaction time; sequential effects; Cognitive Psychology; Computer Sciences

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APA (6th Edition):

Wilder, M. H. (2013). Probabilistic Modeling of Sequential Effects in Human Behavior: Theory and Practical Applications. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/63

Chicago Manual of Style (16th Edition):

Wilder, Matthew H. “Probabilistic Modeling of Sequential Effects in Human Behavior: Theory and Practical Applications.” 2013. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/csci_gradetds/63.

MLA Handbook (7th Edition):

Wilder, Matthew H. “Probabilistic Modeling of Sequential Effects in Human Behavior: Theory and Practical Applications.” 2013. Web. 05 Mar 2021.

Vancouver:

Wilder MH. Probabilistic Modeling of Sequential Effects in Human Behavior: Theory and Practical Applications. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/csci_gradetds/63.

Council of Science Editors:

Wilder MH. Probabilistic Modeling of Sequential Effects in Human Behavior: Theory and Practical Applications. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/csci_gradetds/63


University of Colorado

15. Pearre, Ben. Model-Free in situ Optimisation of Data-Ferried Sensor Networks.

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

  Given multiple widespread stationary data sources (nodes), an unmanned aircraft (UA) can fly over the sensors and gather the data via a wireless link.… (more)

Subjects/Keywords: data ferrying; energy conservation; metalearning; reinforcement learning; trajectory optimisation; unmanned aerial vehicle (UAV); Artificial Intelligence and Robotics; Communication; Computer Sciences

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APA (6th Edition):

Pearre, B. (2013). Model-Free in situ Optimisation of Data-Ferried Sensor Networks. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/75

Chicago Manual of Style (16th Edition):

Pearre, Ben. “Model-Free in situ Optimisation of Data-Ferried Sensor Networks.” 2013. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/csci_gradetds/75.

MLA Handbook (7th Edition):

Pearre, Ben. “Model-Free in situ Optimisation of Data-Ferried Sensor Networks.” 2013. Web. 05 Mar 2021.

Vancouver:

Pearre B. Model-Free in situ Optimisation of Data-Ferried Sensor Networks. [Internet] [Doctoral dissertation]. University of Colorado; 2013. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/csci_gradetds/75.

Council of Science Editors:

Pearre B. Model-Free in situ Optimisation of Data-Ferried Sensor Networks. [Doctoral Dissertation]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/csci_gradetds/75


University of Colorado

16. Khajah, Mohammad. Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance.

Degree: PhD, Computer Science, 2017, University of Colorado

 I study the impact of novel game manipulations on user engagement using principled computational methods. Maximizing user engagement is important because it results in more… (more)

Subjects/Keywords: computer technology; user engagement; psychology; technology; education; Gaussian processes; neural network; preference learning models; Computer Sciences; Educational Methods; Psychology

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APA (6th Edition):

Khajah, M. (2017). Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/csci_gradetds/160

Chicago Manual of Style (16th Edition):

Khajah, Mohammad. “Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance.” 2017. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/csci_gradetds/160.

MLA Handbook (7th Edition):

Khajah, Mohammad. “Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance.” 2017. Web. 05 Mar 2021.

Vancouver:

Khajah M. Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance. [Internet] [Doctoral dissertation]. University of Colorado; 2017. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/csci_gradetds/160.

Council of Science Editors:

Khajah M. Optimizing Game Engagement Via Nonparametric Models and Manipulations of Difficulty, Tension, and Perceived Performance. [Doctoral Dissertation]. University of Colorado; 2017. Available from: https://scholar.colorado.edu/csci_gradetds/160


University of Colorado

17. Mollison, Matthew Via. Distributed Practice and Distributed Representations: Investigating the Spacing Effect Using EEG.

Degree: PhD, Psychology & Neuroscience, 2015, University of Colorado

  The spacing effect shows that studying information at distributed intervals leads to better long-term memory than massing study episodes together over the same cumulative… (more)

Subjects/Keywords: distributed practice; EEG; encoding; learning; memory; spacing effect; Cognitive Neuroscience; Cognitive Psychology

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APA (6th Edition):

Mollison, M. V. (2015). Distributed Practice and Distributed Representations: Investigating the Spacing Effect Using EEG. (Doctoral Dissertation). University of Colorado. Retrieved from https://scholar.colorado.edu/psyc_gradetds/93

Chicago Manual of Style (16th Edition):

Mollison, Matthew Via. “Distributed Practice and Distributed Representations: Investigating the Spacing Effect Using EEG.” 2015. Doctoral Dissertation, University of Colorado. Accessed March 05, 2021. https://scholar.colorado.edu/psyc_gradetds/93.

MLA Handbook (7th Edition):

Mollison, Matthew Via. “Distributed Practice and Distributed Representations: Investigating the Spacing Effect Using EEG.” 2015. Web. 05 Mar 2021.

Vancouver:

Mollison MV. Distributed Practice and Distributed Representations: Investigating the Spacing Effect Using EEG. [Internet] [Doctoral dissertation]. University of Colorado; 2015. [cited 2021 Mar 05]. Available from: https://scholar.colorado.edu/psyc_gradetds/93.

Council of Science Editors:

Mollison MV. Distributed Practice and Distributed Representations: Investigating the Spacing Effect Using EEG. [Doctoral Dissertation]. University of Colorado; 2015. Available from: https://scholar.colorado.edu/psyc_gradetds/93

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