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Filtering by: Creator Reiff%2C Steven D. Remove constraint Creator: Reiff%2C Steven D. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • 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:
    AN ABSTRACT OF THE THESIS OF Steven Kollmansberger for the degree of

  • The Pursuit of Hoppiness : Propelling Hop into the Genomic Era

    Creator:
    Hill, Steven T.
    Abstract:
    Hop (Humulus lupulus L. var lupulus) is a plant of great cultural significance, used as a medicinal herb for thousands of years, and for flavor and as a preservative in brewing beer. Studies of the medicinal effects of the unique compounds produced by hop have led to interest from the...
    Resource Type:
    Masters Thesis
    Full Text:
    ABSTRACT OF THE THESIS OF Steven T. Hill for the degree of Master of Science in Computer Science

  • Deep Segmentation in Plant Phenomics

    Creator:
    Kaur, Damanpreet
    Abstract:
    The abilities of plant biologists to characterize the genetic basis of physiological traits are limited by their abilities to obtain quantitative data representing precise details of trait variation and mainly to collect this data on a high-throughput scale at low cost. Deep learning-based methods have demonstrated unprecedented potential to automate...
    Resource Type:
    Masters Thesis

  • Flex-shape convolution and an interactive image segmentation system

    Creator:
    Zhou, Zheng
    Abstract:
    Semantic image segmentation is a relatively difficult task in computer vision. With the advent of deep learning, semantic image segmentation is increasingly of interest for researchers because of the excellent predictions from Convolutional Neural Network (CNN). However, CNNs have proven to struggle with obtaining global context of image due to...
    Resource Type:
    Masters Thesis
    Full Text:
    proceed my researches; Dr. Steven Strauss, who is the excellent professor from department of Forest

  • The Emergent Qualities of Diversity in Free and Open Source Software Communities: A Critical Review and Theoretical Discussion

    Creator:
    Kuechler, J. Victor
    Abstract:
    Free and open source software (FOSS) projects primarily rely on the efforts of volunteer contributors from around the world. For this reason, recruiting and retaining contributor is vital to the sustainability and growth of FOSS projects. This notion became the jumping-off point for this three-part investigation into the cultural structure...
    Resource Type:
    Masters Thesis
    Full Text:
    consideration small variations in the way names are presented. For instance, “Steven Jobs” might also identify

  • Building Self Adaptive Software Systems via Test-based Modifications

    Creator:
    Christi, Arpit M.
    Abstract:
    Building software systems that adapt to the changing environment is challenging. Developers cannot anticipate all the changes in advance, and even if they could, the effort required to handle such situations is too onerous for practical purposes. Self Adaptive Software (SAS) adapts itself as per changing environment. The area of...
    Resource Type:
    Dissertation
    Full Text:
    - tions and computes a reduced version of the original system that fails most of the tests labeled A-D

  • High-Dimensional Reinforcement Learning with Human Feedback

    Creator:
    Curran, William
    Abstract:
    State-of-the-art personal robots need to perform complex manipulation tasks to be viable in complex scenarios. However, many of these robots, like the PR2, use manipulators with high degrees of freedom. High degrees of freedom are desirable from a functionality standpoint, but make the learning task more difficult by adding a...
    Resource Type:
    Dissertation
    Full Text:
    -Dimensional Reinforcement Learning with Human Feedback Abstract approved: William D. Smart Prasad Tadepalli

  • Pattern systems and methodologies for multiparadigm analysis and design

    Creator:
    Knutson, Charles D.
    Abstract:
    In this research, we have captured, in pattern form, key elements of programming and design in four programming paradigms (imperative, object-oriented, functional and logical) as well as multiparadigm programming. These pattern sets have formed a foundation upon which we were able to build a deeper understanding of multiparadigm programming and...
    Resource Type:
    Dissertation
    Full Text:
    DISSERTATION OF Charles D. Knutson for the degree of Doctor of Philosophy in Computer Science presented on

  • Single fault detection in combinational logic circuits

    Creator:
    Medhekar, Ranjana A.
    Abstract:
    The material in this paper is divided into the following four chapters for convenience. Chapter 1 explains, how the idea of fault testing changed from testing the machine instructions to testing the hardware in logic circuits. Chapters 2, 3 and 4 present the different approaches considered, namely: 1. Path sensitizing...
    Resource Type:
    Capstone Project
    Full Text:
    : Table of Contents Introduction Early Approaches Path Sensitizing and D-Algorithm Tabular Method

  • On resource placements and fault-tolerant broadcasting in toroidal networks

    Creator:
    AlMohammad, Bader Fahed AlBedaiwi
    Abstract:
    Parallel computers are classified into: Multiprocessors, and multicomputers. A multiprocessor system usually has a shared memory through which its processors can communicate. On the other hand, the processors of a multicomputer system communicate by message passing through an interconnection network. A widely used class of interconnection networks is the toroidal...
    Resource Type:
    Dissertation
    Full Text:
    distance between a non-resource and a closest resource is minimized. This problem is known as distance-d