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Filtering by: Creator Jaeger, Kristin L. Remove constraint Creator: Jaeger, Kristin L. Committee Member Burnett, Margaret Remove constraint Committee Member: Burnett, Margaret

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  • Interactive visualization of diversity in multivariate data sets unified across fields of study

    Creator:
    Pham, Tuan N. T.
    Abstract:
    The study of the diversity of multivariate objects shares common characteristics across disciplines, including ecology and organizational management. Nevertheless, experts in these two disciplines have adopted somewhat separate diversity concepts and analysis techniques, limiting the ability of potentially sharing and cross comparing these concerns. Moreover, while complex diversity data may...
    Resource Type:
    Dissertation

  • A domain-specific embedded language for probabilistic programming

    Creator:
    Kollmansberger, Steven
    Abstract:
    Functional programming is concerned with referential transparency, that is, given a certain function and its parameter, that the result will always be the same. However, it seems that this is violated in applications involving uncertainty, such as rolling a dice. This thesis defines the background of probabilistic programming and domain-specific...
    Resource Type:
    Masters Thesis
    Full Text:
    Carrington, Ed Allen, Kristin Kasschau and Chris Sullivan. A debt of gratitude must be extended to Paul Cull

  • Machine learning methods for public policy : simulation, optimization, and visualization

    Creator:
    McGregor, Sean
    Abstract:
    Society faces many complex management problems, particularly in the area of shared public resources such as ecosystems. Existing decision making processes are often guided by personal experience and political ideology rather than state-of-the-art scientific understanding. This dissertation envisions a future in which multiple stakeholders are provided with computational tools for...
    Resource Type:
    Dissertation

  • Design and Application of Variational Representations

    Creator:
    Smeltzer, Karl J.
    Abstract:
    Variability is an important and widely studied topic across domains such as version control, software product lines, and metaprogramming. This dissertation presents an investigation into the process of systematically adding variability to data structures and programs, leading to guidelines for variational data structures and implications for programs that create, manipulate,...
    Resource Type:
    Dissertation

  • Assessing and Finding Faults in AI: Two Empirical Studies

    Creator:
    Khanna, Roli
    Abstract:
    With the advent of Artificial Intelligence (AI) in every sphere of life in today's day and age, it has become increasingly important for non-AI experts to be able to comprehend the underlying logic of how AI systems work, assess them and find faults in these systems, particularly when they are...
    Resource Type:
    Masters Thesis
    Full Text:
    - rials). A A R / A I In n e r L o o p 3. Review what was supposed to happen What did the evaluator