Search Constraints

Start Over
Filtering by: Creator Tower, Dennis Brian Remove constraint Creator: Tower, Dennis Brian Degree Field Computer Science Remove constraint Degree Field: Computer Science

Search Results

  • The empire infrastructure for testing experimentation

    Creator:
    Davia, Brian
    Abstract:
    It is widely believed that there is not enough experimentation in the field of computer science. One area in particular in which additional experimentation is needed involves regression testing of large, real software. Regression testing is the expensive process of validating changes made to previously tested software. One reason why...
    Resource Type:
    Capstone Project
    Full Text:
    Brian Davia a research paper submitted to Oregon State University in partial fulfillment of the

  • Machine Learning and Optimization Applications in Agriculture

    Creator:
    Molotkov, Alexander
    Abstract:
    The ever-increasing global population presents looming problems for the field of agriculture. Global food demand will, at some point, increase to the point where there is not enough crop-ready land to keep up. This creates an additional incentive, other than economics, for growers to increase their yield-per-acre and make sure...
    Resource Type:
    Honors College Thesis
    Full Text:
    Manufacturing Engineering Stefan Lee, Committee Member, representing Electrical and Computer Engineering Brian

  • Improving GPGPU NoC Performance with Memory Controller Placement Awareness

    Creator:
    Kollipara, Lakshman Madhav
    Abstract:
    General-purpose Graphics Processing Units (GPGPUs) have become a critical component in high-performance computing (HPC) systems in executing modern computational workloads. The high thread level parallelism (TLP) and programmable shader cores allow thousands of threads to execute in Parallel. The fast-scaling of GPGPUs have increased the demand for performance optimizations on...
    Resource Type:
    Capstone Project
    Full Text:
    . William J. Dally and Brian Towels [17] proposed the concept of using on-chip interconnection networks

  • Structured gradient boosting

    Creator:
    Parker, Charles (Charles Lincoln)
    Abstract:
    The goal of many machine learning problems can be formalized as the creation of a function that can properly classify an input vector, given a set of examples of that function. While this formalism has produced a number of success stories, there are notable situations in which it fails. One...
    Resource Type:
    Dissertation

  • Characterizing and Addressing Dataset Shift with Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    This dissertation delves into understanding, characterizing, and addressing dataset shift in deep learning, a pervasive issue for deployed machine learning systems. Integral aspects of the problem are examined: We start with the use of counterfactual explanations in order to characterize the behavior of deep reinforcement learning agents in visual input...
    Resource Type:
    Dissertation

  • A rule based approach to program development

    Creator:
    Birjandi, Abbas
    Abstract:
    A rule based transformational model for program development and a metatool based on the above model is presented. The meta-tool can be instantiated to create various program development tools such as tools for building reusable software components, language directed editors, language to language translators, program instrumentation, structured document generator, and...
    Resource Type:
    Dissertation

  • Mental Models of Mere Mortals with Explanations of Reinforcement Learning

    Creator:
    Anderson, Andrew A.
    Abstract:
    How should reinforcement learning (RL) agents explain themselves to humans not trained in AI? To gain insights into this question, we conducted a 124 participant, four-treatment experiment to compare participants’ mental models of an RL agent in the context of a simple Real-Time Strategy (RTS) game. The four treatments isolated...
    Resource Type:
    Masters Thesis

  • 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

  • Individual Fairness Optimization in Machine Learning with Minimax Loss and an Abstain Option

    Creator:
    Behnoudfar, Ali
    Abstract:
    In this thesis, a new learning algorithm is introduced that is targeted towards individual fairness. In order to be individually fair, mispredictions need to be avoided as each such prediction means the learning algorithm was unfair towards some individual. Therefore, achieving individual fairness implies having a perfect classifier, which is...
    Resource Type:
    Masters Thesis
    Full Text:
    , page arXiv:1902.02960, February 2019. [8] Flavio P. Calmon, Dennis Wei, Bhanukiran Vinzamuri

  • LacEDAemon : a programming environment for the multiparadigm language leda

    Creator:
    Pandey, Rajeev K.
    Abstract:
    Multiparadigm programming languages are a recent development in the realm of programming languages. A multiparadigm programming language allows the use of multiple, differing programming paradigms without departing from a single, unified linguistic framework. Multiparadigm programming languages are claimed to have benefits to both pedagogy and complex application creation. The beneficial...
    Resource Type:
    Dissertation
    Full Text:
    Chakrabarti, Dennis Harms, Bob Miller, Jacek Walicki and Ted Wilson. At Intel: Clark Nelson and Peter