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Filtering by: Creator Olden, Julian D. Remove constraint Creator: Olden, Julian D. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Real-time Speech Workload Estimation

    Creator:
    Fortune, Julian D.
    Abstract:
    Demanding task environments (e.g., supervising a remotely piloted aircraft) require performing tasks quickly and accurately; however, periods of low and high operator workload can decrease task performance. Intelligent modulation of the system’s demands and interaction modality in response to changes in operator workload state may increase performance by avoiding undesirable...
    Resource Type:
    Honors College Thesis
    Full Text:
    Real-time Speech Workload Estimation By Julian Fortune A

  • 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

  • Methods for cost-sensitive learning

    Creator:
    Margineantu, Dragos D.
    Abstract:
    Many approaches for achieving intelligent behavior of automated (computer) systems involve components that learn from past experience. This dissertation studies computational methods for learning from examples, for classification and for decision making, when the decisions have different non-zero costs associated with them. Many practical applications of learning algorithms, including transaction...
    Resource Type:
    Dissertation
    Full Text:
    be rigorous. He has been very influential in my thinking. I owe special debts to Bruce D' Ambrosio

  • Designing Diversity and Inclusion Processes and Tools for Sustainable Open Source

    Creator:
    Guizani, Mariam
    Abstract:
    Over time, Open Source Software (OSS) has become indispensable in the creation and upkeep of software products, serving as the fundamental building block for widely used solutions in our daily lives, including applications that enable communication, entertainment, and productivity. A sustainable OSS ecosystem is one that attracts and retains a...
    Resource Type:
    Dissertation
    Full Text:
    domains, Open Source itself is challenged in terms of the Diversity and Inclusion (D&I) of its community

  • Creating, Understanding and Applying Machine Learning Models of Multiple Species

    Creator:
    Griffioen, Arwen Twinkle E.
    Abstract:
    Many problems in ecology and conservation biology can be formulated and solved using machine learning algorithms for multi-label classification. This dissertation addresses three topics related to predicting the distributions of multiple species. It improves existing methods and proposes a new modeling paradigm to address the multi-species, multi-label problem. The first...
    Resource Type:
    Dissertation
    Full Text:
    under Contract No. FA8750-07-D-0185/0004 through the Air Force Research Laboratory (AFRL). Any

  • Video Analysis : Techniques for Semi-Supervised Video Object Instance Segmentation and Tracking-by-Detection in the Wild

    Creator:
    Firl, Alrik K.
    Abstract:
    This thesis consists of two major components. The first part is concerned with video object instance segmentation (VOS), which is the task of assigning per-pixel labels perframe of a video sequence to indicate foreground object instance membership, given the first frame ground truth mask. VOS has myriad applications, from video...
    Resource Type:
    Masters Thesis
    Full Text:
    a guidance vector, w is a [d x 1] vector. 9 If using a guidance window, w is a matrix of

  • Machine learning for improving the quality of citizen science data

    Creator:
    Yu, Jun
    Abstract:
    Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially useful if the scope of the study is too broad to be performed by a limited number of trained scientists. Although citizen scientists can contribute...
    Resource Type:
    Dissertation
    Full Text:
    : (a) observer, (b) location, (c) visit, and (d) species. Observer information (e.g. name, ID and

  • Machine Learning Techniques to Model Species Interactions and Distributions Under Imperfect Detection

    Creator:
    Seo, Eugene
    Abstract:
    Ecological domains seeking to understand the environment and the behavior of species have received little attention in machine learning (ML), despite the fact that environmental changes have a significant impact on humans as well as ecosystems. Some ecological problems can be formulated similarly to other common ML applications, but there...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 140 D Proof of Proposition 1 . . . . . . . . . . . . . . . . . . . . . . . . . . 141 E Parameter

  • 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:
    optimal harvest the model requires, as input, a set of triplets, (p, d, d′), which each represent

  • Optimizing Interconnection Topology using Deep Reinforcement Learning

    Creator:
    Zeng, Kai
    Abstract:
    As the number of nodes in high-performance computing (HPC) systems continues to grow, it becomes increasingly important to design scalable interconnection network topologies. Prior work has shown promise in adding random shortcuts on top of an existing topology to reduce average hop count and network diameter, but has been limited...
    Resource Type:
    Masters Thesis
    Full Text:
    vs. network size (ring, d=10, ratio=2) . . . . . . . . 30 6.3 Diameter vs. network size (ring, d=10