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Filtering by: Creator Barlow, Zachary W. Remove constraint Creator: Barlow, Zachary W. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • A Distributed Scheme for Accelerating and Scaling PSPNet

    Creator:
    Krishna, Ajay
    Abstract:
    Advances in deep learning based image processing have led to their adoption for a wide range of applications, and in tow with these developments is a dramatic increase in the availability of high quality datasets. With this comes the need to accelerate and scale deep learning applications in order to...
    Resource Type:
    Masters Thesis
    Full Text:
    , W. Dong, R. Socher, L. Li, Kai Li, and Li Fei-Fei. Imagenet: A large- scale hierarchical image

  • AI, Robot: A Rhetorical Analysis of Jeopardy! Matches Featuring IBM’s Artificial Intelligence

    Creator:
    Steele, Evan T.
    Abstract:
    The relationship between the public and new technologies has historically been a tumultuous one, with public perceptions ranging from excited rapid adoption to standoffish pessimism. In 2011, IBM tried to use competition as a means of showcasing a new technology to the public. This thesis is a work of rhetorical...
    Resource Type:
    Masters Thesis
    Full Text:
    extend a special thanks to my significant other, Zachary, who I could not have completed this project

  • 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:
    PRES RELH RAIN WDSD SRAD TAIR TA9M WDIR WSSD WMAX WS2M WSPD WVEC PR ES RE LH RA IN W DS

  • 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

  • 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

  • Constraining Bayesian network learning with qualitative models

    Creator:
    Altendorf, Eric E.
    Abstract:
    Machine learning encompasses probabilistic and statistical techniques that can build models from large quantities of extensional information (examples) with minimal dependence on intensional information (domain knowledge). This focus of machine learning is reflected in the never-ending quest for "off-the-shelf" classifiers. To generalize to unseen data, however, we must make use...
    Resource Type:
    Masters Thesis
    Full Text:
    Gnuplot (Wade Holmes). I also thank Aron W. Culotta, Charles Sutton, and Jerod Weinman from the Mallet

  • Counterfactual States for Atari Agents via Generative Deep Learning

    Creator:
    Olson, Matthew L.
    Abstract:
    Although deep reinforcement learning agents have produced impressive results in many domains, their decision making is difficult to explain to humans. To address this problem, past work has mainly focused on explaining why an action was chosen in a given state. A different type of explanation that is useful is...
    Resource Type:
    Masters Thesis
    Full Text:
    optimization: minimize ||Ew(A(s))− z∗w||22 subject to argmax a∈Actions π(DW (z ∗ w), a) = a ′ where s is

  • Deep Convolutional Network on Point Clouds for 3D Scene Understanding

    Creator:
    Wu, Wenxuan
    Abstract:
    As one of the most popular data types, the point cloud is widely used in various appli- cations, including computer vision, computer graphics and robotics. The capability to directly measure 3D point clouds is invaluable in those applications as depth information could remove a lot of the segmentation ambiguities in...
    Resource Type:
    Dissertation
    Full Text:
    FGR(rigid) [180]; (d) Results from CPD(non-rigid) [99]; (e) Results from PointPWC-Net(w/o ft+Full

  • Engineering Student Perspectives of a New Required Programming Course

    Creator:
    Garcia Ramirez, Jessica
    Abstract:
    We present student perceptions of a new first-year engineering programming class that was designed by informed research practices. While the College of Engineering at Oregon State University saw a lot of major switching in the first year, there were not many students switching into computer science (CS). This could have...
    Resource Type:
    Masters Thesis

  • Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

    Creator:
    Dodge, Jonathan E.
    Abstract:
    Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
    Resource Type:
    Dissertation
    Full Text:
    nearest half-hour, and records are presented as [W, L D]. Tables G.1–G.4 all will use a similar format