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Filtering by: Creator Cooper, William A. Remove constraint Creator: Cooper, William A. Degree Field Computer Science Remove constraint Degree Field: Computer Science Resource Type Dissertation Remove constraint Resource Type: Dissertation

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  • Specifications for a fuzzy system modeling language

    Creator:
    Fellinger, William Lowell
    Abstract:
    Specifications for a simulation language capable of modeling fuzzy systems are presented. Actions occurring in the running model are to be displayed on a graphics terminal in the .form of modified E-nets. The concept of partial execution of predicates is introduced in connection with the underlying continuously valued logic. Fuzzy...
    Resource Type:
    Dissertation
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    Modeling Language by William Lowell Fellinger A THESIS submitted to Oregon State University in

  • 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:
    modelers to develop new applications in a straightforward, accessible way. © Copyright by William H

  • Al-Khorezmi : an intelligent algebra tutoring system

    Creator:
    Bayley, Garland J.
    Abstract:
    This thesis presents our investigation of the problem of creating an intelligent tutor for solving algebra word problems that employs effective pedagogy. Among our major concerns are the problems of sufficient knowledge and proper knowledge organization. From student protocols and test papers, we derived sets of general purpose strategic rules...
    Resource Type:
    Dissertation
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    Abstract approved: Redacted for Privacy William S. 10egar This thesis presents our investigation of the

  • Computational Elucidation of the Regulatory SNPs in the Non-Coding Regions of the Human Genome

    Creator:
    Yao, Yao
    Abstract:
    We describe a series of novel computational models, CERENKOV (Computational Elucidation of the REgulatory NonKOding Variome) and its successors CERENKOV2, CERENKOV3, and Convolutional CERENKOV3, for discriminating regulatory single nucleotide polymorphisms (rSNPs) from non-regulatory SNPs within non-coding genetic loci. The CERENKOV models are designed for recognizing rSNPs in the context of...
    Resource Type:
    Dissertation
    Full Text:
    Ramsey We describe a series of novel computational models, CERENKOV (Computational Elu- cidation of the

  • 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:
    Rights Reserved High-Dimensional Reinforcement Learning with Human Feedback by William Curran A

  • Evaluation functions in aerial image segmentation

    Creator:
    Langford, William T.
    Abstract:
    Remote sensing is the most practical way to acquire large amounts of land cover data for monitoring and understanding environmental change, so it is important to be able to map land cover from imagery. Maps defining land cover patches as polygons rather than pixels greatly improve processing efficiency in models...
    Resource Type:
    Dissertation
    Full Text:
    Image Segmentation by William T. Langford A DISSERTATION submitted to Oregon State University in

  • From multitarget tracking to event recognition in videos

    Creator:
    Brendel, William
    Abstract:
    This dissertation addresses two fundamental problems in computer vision—namely, multitarget tracking and event recognition in videos. These problems are challenging because uncertainty may arise from a host of sources, including motion blur, occlusions, and dynamic cluttered backgrounds. We show that these challenges can be successfully addressed by using a multiscale,...
    Resource Type:
    Dissertation
    Full Text:
    Multitarget Tracking to Event Recognition in Videos by William Brendel A DISSERTATION submitted to Oregon

  • Algorithmic Problems on Simplicial Complexes

    Creator:
    Maxwell, William
    Resource Type:
    Dissertation
    Full Text:
    William Maxwell A DISSERTATION submitted to Oregon State University in partial fulfillment of the

  • Active learning with committees : an approach to efficient learning in text categorization using linear threshold algorithms

    Creator:
    Liere, Ray
    Abstract:
    We developed and investigated machine learning methods that require minimal preprocessing of the input data, use few training examples, run fast, and still obtain high levels of accuracy. Most approaches to designing machine learning programs are based on the supervised learning paradigm – training examples are chosen randomly and given...
    Resource Type:
    Dissertation
    Full Text:
    categorization is to assign each document in a collection to appropriate categories. Most existing text

  • Topological analysis, visualization, and design of vector fields on surfaces

    Creator:
    Chen, Guoning
    Abstract:
    Analysis, visualization, and design of vector fields on surfaces have a wide variety of major applications in both scientific visualization and computer graphics. On the one hand, analysis and visualization of vector fields provide critical insights to the flow data produced from simulation or experiments of various engineering processes. On...
    Resource Type:
    Dissertation
    Full Text:
    surfaces have a wide variety of major applications in both scientific visualization and computer graphics