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Filtering by: Creator Mulligan, Daniel M. Remove constraint Creator: Mulligan, Daniel M. Degree Field Computer Science Remove constraint Degree Field: Computer Science Peer Reviewed No Remove constraint Peer Reviewed: No

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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

  • A Comparative Study on How SVN and Git Affect Software Changes

    Creator:
    Codoban, Mihai
    Abstract:
    Distributed Version Control Systems (DVCS) have seen an increase in popularity relative to traditional Centralized Version Control Systems (CVCS). Yet we know little on whether VCS tools meet the needs of software developers when managing software change or whether developers are benefitting from the extra power of DVCS. Without such...
    Resource Type:
    Masters Thesis
    Full Text:
    and Git A↵ect Software Changes Abstract approved: Daniel Dig Distributed Version Control Systems

  • 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

  • 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

  • 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

  • Development of a GPS-Based Transit Tracking System for Corvallis

    Creator:
    Urbanski, Daniel F.
    Abstract:
    Buses can be impractical for those who must adhere to a strict schedule or depend on them for emergencies. While variations from the official bus schedule are understandable and largely unavoidable, a lack of communication discourages adoption at a rate disproportionate with their actual likelihood. Even if a bus is...
    Resource Type:
    Honors College Thesis
    Full Text:
    Corvallis by Daniel F. Urbanski A PROJECT submitted to Oregon State University University

  • 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

  • Auxiliary Tasks for Efficient Learning of Point-Goal Navigation

    Creator:
    Desai, Saurabh Satish
    Abstract:
    Top-performing approaches to embodied AI tasks like point-goal navigation often rely on training agents via reinforcement learning over tens of millions (or even billions) of experiential steps – learning neural agents that map directly from visual observations to actions. In this work, we question whether these extreme training durations are...
    Resource Type:
    Masters Thesis
    Full Text:
    for Efficient Learning of Point-Goal Navigation Abstract approved: Stefan M. Lee Top-performing

  • Information Theoretical Analysis of Self-Similar Trees

    Creator:
    Chunikhina, Evgenia V.
    Abstract:
    Tree-like patterns are ubiquitous in nature. Botanical trees, river networks, and blood systems are the most well-known examples of complex hierarchical systems met in observations. Interestingly, many of such systems exhibit statistical self-similarity. There are two main types of self-similarity: Horton self-similarity and Tokunaga self-similarity. Although there is an increased...
    Resource Type:
    Dissertation
    Full Text:
    : Information Theoretical Analysis of Self-Similar Trees Abstract approved: Juan M. Restrepo Tree-like