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Filtering by: Creator Osmundson, Todd W. Remove constraint Creator: Osmundson, Todd W. Degree Field Computer Science Remove constraint Degree Field: Computer Science Language English [eng] Remove constraint Language: English [eng]

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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...
    Resource Type:
    Dissertation
    Full Text:
    . Douglas W. Bryant, Jr., Author ACKNOWLEDGEMENTS I sincerely thank Doctors Todd Mockler and Weng-Keen

  • 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...
    Resource Type:
    Dissertation
    Full Text:
    Debugging AN ABSTRACT OF THE DISSERTATION OF Todd Kulesza for the degree of Doctor of Philosophy in

  • Toward end-user debugging of machine-learned programs

    Creator:
    Kulesza, Todd
    Abstract:
    The results of a machine learning from user behavior can be thought of as a program, and like all programs, it may need to be debugged. Providing ways for the user to debug it matters because without the ability to fix errors, users may find that the learned program’s errors...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Todd Kulesza for the degree of Master of Science in Computer Science

  • 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...
    Resource Type:
    Dissertation
    Full Text:
    stability [12]. 10 Given that policy π is parameterized by the set of parameters w, the most general

  • 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...
    Resource Type:
    Dissertation
    Full Text:
    gives an incorrect value for s1 = 1, s2 = 0, compared to W , the update using PDP-V (Equation 4.2

  • 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,...
    Resource Type:
    Dissertation
    Full Text:
    . Many thanks also go to my committee, Margaret Burnett, Carlos Jensen, Ron Metoyer, and Todd Palmer for

  • Probabilistic models for quality control in environmental sensor networks

    Creator:
    Dereszynski, Ethan W.
    Abstract:
    Networks of distributed, remote sensors are providing ecological scientists with a view of our environment that is unprecedented in detail. However, these networks are subject to harsh conditions, which lead to malfunctions in individual sensors and failures in network communications. This behavior manifests as corrupt or missing measurements in the...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Ethan W. Dereszynski for

  • Comparative Look at Spectator Identification in Films and Video Games

    Creator:
    Reiner, Taylor
    Abstract:
    Often, characters of entertainment works, such as movies, books, or video games, display traits that people find relatable. In certain cases, a spectator of a work will develop such a strong psychological bond with a character that they identify with them. Identification with fictional characters is usually a subconscious act...
    Resource Type:
    Honors College Thesis
    Full Text:
    , Todd McGowan, and Jean-Louis Baudry, cite cinema structure itself as cultivating this illusion. Metz

  • The inclusion of expertise in a decision support system for strategic decision making

    Creator:
    Goul, Kenneth Michael
    Abstract:
    A decision support system (DSS) incorporating domain expertise guides, tutors, and consults a decision maker in opportunity, problem, and crisis identification activities. The objective for the system is to promote improved decision making. Using an "Independent Groups" design, an experimental study was conducted to investigate the effects of DSS use...
    Resource Type:
    Dissertation
    Full Text:
    statement of the model. Preliminary specifications follow: 1. F(v,w,x,y,z): To specify the intensity of

  • Improving User Mental Models of XAI Systems with Inclusive Design Approaches

    Creator:
    Hamid, Md Montaser
    Abstract:
    Explainable Artificial Intelligence (XAI) systems aim to improve users’ understanding of AI but rarely consider the inclusivity aspects of XAI. Without inclusive approaches, improving explanations might not work well for everyone. This study investigates leveraging users’ diverse problem-solving styles as an inclusive strategy to fix an XAI prototype, with the...
    Resource Type:
    Masters Thesis