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Filtering by: Creator Todd, Brian D. Remove constraint Creator: Todd, Brian D. Degree Field Computer Science Remove constraint Degree Field: Computer Science Resource Type Dissertation Remove constraint Resource Type: Dissertation

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  • Algorithms for massive biological datasets

    Creator:
    Bryant, Douglas W. (Douglas Wesley)
    Abstract:
    Within the past several years the technology of high-throughput sequencing has transformed the study of biology by offering unprecedented access to life's fundamental building block, DNA. With this transformation's potential a host of brand-new challenges have emerged, many of which lend themselves to being solved through computational methods. From de...
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    Dissertation
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    : Algorithms for Massive Biological Datasets Abstract approved: Weng-Keen Wong Todd C. Mockler Within the

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
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    Dissertation
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    -Dimensional Reinforcement Learning with Human Feedback Abstract approved: William D. Smart Prasad Tadepalli

  • Personalizing machine learning systems with explanatory debugging

    Creator:
    Kulesza, Todd
    Abstract:
    How can end users efficiently influence the predictions that machine learning systems make on their behalf? Traditional systems rely on users to provide examples of how they want the learning system to behave, but this is not always practical for the user, nor efficient for the learning system. This dissertation...
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    Dissertation
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    Debugging AN ABSTRACT OF THE DISSERTATION OF Todd Kulesza for the degree of Doctor of Philosophy in

  • Understanding Software Development and Testing Practices

    Creator:
    Hilton, Michael
    Abstract:
    A bad software development process leads to wasted effort and inferior products. In order to improve a software process, it must be first understood. In this work I focus on understanding software processes. The first process we seek to understand is Continuous Integration (CI). CI systems automate the compilation, building,...
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    Dissertation
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    . Many thanks also go to my committee, Margaret Burnett, Carlos Jensen, Ron Metoyer, and Todd Palmer for

  • Domain-Independent Planning for Markov Decision Processes with Factored State and Action Spaces

    Creator:
    Raghavan, Aswin
    Abstract:
    Markov Decision Processes (MDPs) are the de-facto formalism for studying sequential decision making problems with uncertainty, ranging from classical problems such as inventory control and path planning, to more complex problems such as reservoir control under rainfall uncertainty and emergency response optimization for fire and medical emergencies. Most prior research...
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    Dissertation
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    pruning operator P(D,π) ≡ Pπ(D) for any ADD D and a policy constraint BDD π

  • Pattern systems and methodologies for multiparadigm analysis and design

    Creator:
    Knutson, Charles D.
    Abstract:
    In this research, we have captured, in pattern form, key elements of programming and design in four programming paradigms (imperative, object-oriented, functional and logical) as well as multiparadigm programming. These pattern sets have formed a foundation upon which we were able to build a deeper understanding of multiparadigm programming and...
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    Dissertation
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    DISSERTATION OF Charles D. Knutson for the degree of Doctor of Philosophy in Computer Science presented on

  • Designing Diversity and Inclusion Processes and Tools for Sustainable Open Source

    Creator:
    Guizani, Mariam
    Abstract:
    Over time, Open Source Software (OSS) has become indispensable in the creation and upkeep of software products, serving as the fundamental building block for widely used solutions in our daily lives, including applications that enable communication, entertainment, and productivity. A sustainable OSS ecosystem is one that attracts and retains a...
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    Dissertation
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    domains, Open Source itself is challenged in terms of the Diversity and Inclusion (D&I) of its community

  • Incorporating and Learning Behavior Constraints for Sequential Decision Making

    Creator:
    Pinto, Jervis
    Abstract:
    Writing a program that performs well in a complex environment is a challenging task. In such problems, a method of deterministic programming combined with reinforcement learning (RL) can be helpful. However, current systems either force developers to encode knowledge in very specific forms (e.g., state-action features), or assume advanced RL...
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    thanks to the stalwarts of engineering support, Todd Schecter and Mike Sanders. They are invaluable to

  • Structured learning with latent variables : theory and algorithms

    Creator:
    Zhao, Kai
    Abstract:
    Most tasks in natural language processing (NLP) try to map structured input (e.g., sentence or word sequence) to some form of structured output (tag sequence, parse tree, semantic graph, translated/paraphrased/compressed sentence), a problem known as “structured prediction”. While various learning algorithms such as the perceptron, maximum entropy, and expectation-maximization have...
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    Dissertation
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    in an auditorium. Dual-attention fixes the misaligned word “auditorium”. (c) (d) Premise: A person

  • Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
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    Dissertation
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    the CNN Agent from Chapters 6 and 7 . . . . . . . . . . . . . 153 D What domain to study? StarCraft