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Filtering by: Committee Member Vergara, Hector A. Remove constraint Committee Member: Vergara, Hector A. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science

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  • Integrating Side Effects in Variational Programs Using Algebraic Effects

    Creator:
    Alkubaish, Ghadeer
    Abstract:
    Variational programming supports efficiently executing many related programs at once by encoding all of the programs in one "variational program" that captures the differences among them statically and explicitly. An open problem in variational programming is how to handle side effects—if two program variants perform different side effects, we cannot...
    Resource Type:
    Masters Thesis
    Full Text:
    Vergara Hector for their time, willingness to evaluate my work, and feedback. TABLE OF CONTENTS Page 1

  • Exploration of regression models for cancer noncoding mutation recurrence

    Creator:
    Xu, Tanjin
    Abstract:
    An important impact of the genome technology revolution will be the elucidation of mechanisms of cancer pathogenesis, leading to improvements in the diagnosis of cancer and the selection of cancer treatment. Integrated with current well-studied massive knowledge and findings about the role of protein-coding mutations in cancer, demystifying the functional...
    Resource Type:
    Masters Thesis
    Full Text:
    . Xiaoli Fern, Prof. David Hendrix and Prof. Hector A. Vergara for their insights, suggestions and their

  • Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

    Creator:
    Moissinac, Béatrice
    Abstract:
    Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...
    Resource Type:
    Masters Thesis
    Full Text:
    desirable outcomes in a congestion game. c©Copyright by Béatrice Moissinac November 22, 2013 All Rights

  • Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

    Creator:
    Anderson, Michael M.
    Abstract:
    Physical activity recognition using accelerometer data is a rapidly emerging field with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...
    Resource Type:
    Masters Thesis
    Full Text:
    is a rapidly emerging field with many real-world applications. Much of the previous work in this area

  • Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

    Creator:
    Curran, William
    Abstract:
    Air traffic flow management over the U.S. airpsace is a difficult problem. Current management approaches lead to hundreds of thousands of hours of delay, costing billions of dollars annually. Weather and airport conditions may instigate this delay, but routing decisions balancing delay with congestion contribute significantly to the propagation of...
    Resource Type:
    Masters Thesis
    Full Text:
    Tumer Air traffic flow management over the U.S. airpsace is a difficult problem. Current man­ agement

  • Representationally Robust and Scalable Learning over Relational Databases

    Creator:
    Picado Leiva, Jose Manuel
    Abstract:
    Learning novel concepts from relational databases is an important problem with applications in several disciplines, such as data management, natural language processing, and bioinformatics. For a learning algorithm to be effective, the input data should be clean and in some desired representation. However, real-world data is usually heterogeneous – the...
    Resource Type:
    Dissertation
    Full Text:
    : Alan Fern, David Maier, Prasad Tadepalli, and Hector Vergara. Their insightful comments helped this