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Filtering by: Creator Breysse, Daniel H. Remove constraint Creator: Breysse, Daniel H. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Out of the Mouths of Users : Examining User-Developer Feedback Loops Facilitated by App Stores

    Creator:
    Bailey, Kendall
    Abstract:
    Application Stores, such as the iTunes App Store, give developers access to their users’ complaints and requests in the form of application reviews. However, little is known about how developers are responding to application reviews. Without such knowledge developers, users, Application Stores, and researchers could make incorrect assumptions. To address...
    Resource Type:
    Masters Thesis

  • 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:
    Software Development and Testing Practices Abstract approved: Daniel Dig A bad software development

  • Volume minimized generalized cross entropy for learning with label noise

    Creator:
    Wolnick, Daniel
    Abstract:
    The types and rates of label noise in real-world data sets present a challenge to machine learning projects. In this thesis, we propose a novel approach to address this issue. Our method combines a noise modelling technique for correcting label noise across the entire data set with a robust loss...
    Resource Type:
    Honors College Thesis
    Full Text:
    with Label Noise By Daniel Wolnick A THESIS submitted to Oregon State University Honors College

  • Disjunctions in forward chaining logic programming

    Creator:
    Corpron, Daniel R.
    Abstract:
    A forward-chaining logic programming system (FORLOG) has been developed at Oregon State University. This system coupled with an assumption-based truth maintenance system (ATMS), provides an alternative to the logic programming paradigm of backward-chaining with Horn clauses. To compare FORLOG to this paradigm, we define a subset of FORLOG, called mini-FORLOG,...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract of the Thesis of Daniel R. Corpron for the degree of Master of Science in Computer Science

  • Automatic Classification of Ultrasonic Harbor Porpoise Clicks in a Varying Noise Environment

    Creator:
    De Leon, Daniel
    Abstract:
    This study compares three approaches in the design of an autonomous machine listening agent that predicts harbor porpoise ultrasonic echolocation clicks in diverse noise environments. Considering the temporal variations of noisy coastal ocean soundscapes which the harbor porpoises inhabit, we propose a leave-one-day-out (LODO) cross-validation strategy in the training of...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Daniel De Leon for

  • Shrunken learning rates do not improve AdaBoost on benchmark datasets

    Creator:
    Forrest, Daniel L. K.
    Abstract:
    Recent work has shown that AdaBoost can be viewed as an algorithm that maximizes the margin on the training data via functional gradient descent. Under this interpretation, the weight computed by AdaBoost, for each hypothesis generated, can be viewed as a step size parameter in a gradient descent search. Friedman...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Daniel L. K. Forrest for the

  • Linda-Smalltalk : parallel implementation of Little Smalltalk using tuple space communication of Linda

    Creator:
    Chung, Jean H.
    Abstract:
    A new technique of implementing the object-oriented language Little Smalltalk is developed using tuple space communication of Linda. In this implementation, the language's abstract constructs such as object, class, and method are naturally mapped into tuple space. Since Linda's tuple space is designed to facilitate parallel processing, this implementation technique...
    Resource Type:
    Capstone Project
    Full Text:
    : Parallel Implementation of Little Smalltalk Using Tuple Space Communication of Linda Jean H. Chung

  • Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

    Creator:
    Zemicheal, Tadesse H.
    Abstract:
    Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Tadesse H. Zemicheal

  • Distributed OpenCL : a platform for distributed, heterogeneous computing for domain scientists

    Creator:
    Dillon, William H.
    Abstract:
    It is possible to purchase, for as little as $10,000, a cluster of computers with the capability to rival the supercomputers of only a few years ago. Now, users that have little to no experience developing distributed applications or managing a cluster are in a position to do so. To...
    Resource Type:
    Dissertation
    Full Text:
    William H. Dillon for the degree of Doctor of Philosophy in Computer Science presented on May 29, 2012

  • Re-understanding Finite-State Representations of Recurrent Policy Networks

    Creator:
    Danesh, Mohamad H.
    Abstract:
    We propose an approach for understanding control policies represented as recurrent neural networks. Recent work has approached this problem by transforming such recurrent policy networks into finite-state machines (FSM) and then analyzing the equivalent minimized FSM. While this led to interesting insights, the minimization process can obscure a deeper understanding...
    Resource Type:
    Masters Thesis
    Full Text:
    H, a distinguished initial state h0 ∈ H, a finite set of observation symbols O, and a transition