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Filtering by: Creator DeGroot, Michael Alan Remove constraint Creator: DeGroot, Michael Alan Degree Level Doctoral Remove constraint Degree Level: Doctoral

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  • Effect of prepartum anionic supplementation on periparturient feed intake and behavior, health and milk production

    Creator:
    DeGroot, Michael Alan
    Abstract:
    Our objectives were to determine if dietary cation-anion difference (DCAD) and source of anions influence periparturient feed intake and milk production, and to characterize feeding behavior of dairy cattle during the transition period. Diets differed in DCAD (cationic or anionic) and anionic supplement (BioChlor®, Fermenten®, or anionic salts), and were...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Michael A. DeGroot for the

  • Reliability and validity of the observational form of the Child Behavior Checklist

    Creator:
    Reed, Michael L.
    Abstract:
    A review of observational coding systems indicated the need for an instrument which is easy to learn and implement in applied settings, and which can be applied to diverse populations of disturbed children. A two phase study was conducted to evaluate the reliability and validity of observational ratings derived from...
    Resource Type:
    Dissertation
    Full Text:
    Child Behavior Checklist AN ABSTRACT OF THE THESIS OF MICHAEL L. REED for the degree of DOCTOR OF

  • In vivo detoxification of acetic acid in Saccharomyces cerevisiae

    Creator:
    Ding, Jun
    Abstract:
    The studies described in this thesis were motivated by ongoing efforts to develop lignocellulosic biomass as an efficient and practical source of renewable energy. Enormous problems complicate these efforts to reduce reliance on greenhouse gas-generating fossil fuels. Simply obtaining the fermentable sugars available in the cellulose and hemicellulose components of...
    Resource Type:
    Dissertation
    Full Text:
    cerevisiae Abstract approved: Alan T. Bakalinsky The studies described in this thesis

  • Investigating Latent State and Uncertainty Representations in Reinforcement Learning

    Creator:
    Koul, Anurag
    Abstract:
    Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...
    Resource Type:
    Dissertation
    Full Text:
    approved: Alan Fern Learning latent space representations of high-dimensional world states has been at

  • Object Tracking-by-Segmentation in Videos

    Creator:
    Chen, Sheng
    Abstract:
    This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
    Resource Type:
    Dissertation
    Full Text:
    -by-Segmentation in Videos Abstract approved: Alan P. Fern This thesis focuses on the problem of

  • Stake-Free Evaluations of Black-Box Optimization and Spatio-Temporal Graph Network Algorithms

    Creator:
    Merrill, Erich, III
    Abstract:
    Papers proposing novel machine learning algorithms tend to present the algorithm or technique in question in the best possible light. The standard practice is generally for authors to emphasize their proposed algorithms' performance in the precise setting where it is maximally impressive, often by only fully evaluating their best known...
    Resource Type:
    Dissertation
    Full Text:
    Abstract approved: Alan Fern Papers proposing novel machine learning algorithms tend to present the

  • Learning ranking functions for efficient search

    Creator:
    Xu, Yuehua
    Abstract:
    This dissertation explores algorithms for learning ranking functions to efficiently solve search problems, with application to automated planning. Specifically, we consider the frameworks of beam search, greedy search, and randomized search, which all aim to maintain tractability at the cost of not guaranteeing completeness nor optimality. Our learning objective for...
    Resource Type:
    Dissertation
    Full Text:
    : Alan Fern This dissertation explores algorithms for learning ranking functions to efficiently solve

  • Development of an object-oriented expert system for PWR core reload

    Creator:
    Greek, Kevin J.
    Abstract:
    Reactor refueling is a computationally intensive problem solving process that requires automation since significant resources are expended upon the search for an optimal core loading. Without imposing some constraints upon the configurations investigated, an extremely large number of prototype loadings may be generated without discovery of an improved loading. As...
    Resource Type:
    Dissertation
    Full Text:
    System for PWR Core Reload Abstract approved: .e7 Redacted for privacy Dr. Alan obinson Reactor

  • Anomaly Detection: Theory, Explanation and User Feedback

    Creator:
    Siddiqui, Md Amran
    Abstract:
    Anomaly detection has been used in variety of applications in practice, including cyber-security, fraud detection and detecting faults in safety critical systems, etc. Anomaly detectors produce a ranked list of statistical anomalies, which are typically examined by human analysts in order to extract the actual anomalies of interest. Unfortunately, most...
    Resource Type:
    Dissertation
    Full Text:
    : Theory, Explanation and User Feedback Abstract approved: Alan P. Fern Anomaly detection has been used

  • Technology and the origin of human hemispheric asymmetry

    Creator:
    Boraas, Alan Sivert
    Abstract:
    This paper proposes that human asymmetrical hemispheric function originated because of the cognitive requirements of tool-making. The human brain can be considered to be a product of two evolutionary episodes. The first episode was shared with other mammals and resulted in a brain composed of a reptilian complex, paleomammalian and...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE THESIS OF Alan Sivert Boraas for the degree of Doctor of Philosophy in Education