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Filtering by: Creator Mihalov, John D. Remove constraint Creator: Mihalov, John D. Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad

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  • D₊₊ : Structural Credit Assignment in Tightly Coupled Multiagent Domains

    Creator:
    Rahmattalabi, Aida
    Abstract:
    Autonomous multiagent teams can be used in complex exploration tasks to both expedite the exploration and improve the efficiency. However, use of multiagent systems presents additional challenges. Specifically, in domains where the agents' actions are tightly coupled, coordinating multiple agents to achieve cooperative behavior at the group level is difficult....
    Resource Type:
    Masters Thesis
    Full Text:
    degree of Master of Science in Robotics presented on August 2, 2016. Title: D++: Structural Credit

  • Optimization of seasonal irrigation scheduling by genetic algorithms

    Creator:
    Canpolat, Necati
    Abstract:
    In this work, we first introduce a novel approach to the long term irrigation scheduling using Genetic Algorithms (GAs). We explore the effectiveness of GAs in the context of optimizing nonlinear crop models and describe application requirements and implementation of the technique. GAs were found to converge quickly to near-optimal...
    Resource Type:
    Dissertation
    Full Text:
    Genetic Algorithms. Abstract approved: John P. Bolte In this work, we first introduce a novel approach

  • OME : A Framework for Running Spatially Explicit System Dynamics Models

    Creator:
    Wingo, Patrick C.
    Abstract:
    The Open Modeling Environment (OME) is a tool developed to address some known shortcomings in ecological System Dynamics (SD) modeling research. OME provides a common set of methods for interacting directly with spatial information, reducing the need for modelers to create their own methods for doing so. The environment is...
    Resource Type:
    Masters Thesis
    Full Text:
    Framework for Running Spatially Explicit System Dynamics Models. Abstract approved: John P. Bolte

  • Synthetic instrument generation : generating novel instrument timbres with a genetic algorithm

    Creator:
    Knowlton, John
    Abstract:
    The use of genetic algorithms to compose music and generate sounds is an area of interest in the artificial intelligence field. Music and instrument sounds have known rules and structures that can be followed which make them well-suited for genetic algorithms. However, genetic algorithms still struggle to generate sounds comparable...
    Resource Type:
    Honors College Thesis
    Full Text:
    : Generating novel instrument timbres with a genetic algorithm By John Knowlton A THESIS submitted to

  • Protein secondary structure prediction using conditional random fields and profiles

    Creator:
    Shen, Rongkun
    Abstract:
    Protein secondary structure prediction plays a pivotal role in predicting protein folding in three-dimensions. Its task is to assign each residue one of the three secondary structure classes helix, strand, or random coil. This is an instance of the problem of sequential supervised learning in machine learning. This thesis describes...
    Resource Type:
    Masters Thesis
    Full Text:
    representation is the PSI-BLAST profile introduced by D. Jones, which is based on matching sequences of known

  • High-speed implementation of the RSA cryptosystem

    Creator:
    Peng, Yanqun
    Abstract:
    A public key cryptosystem allows two or more parties to securely communicate over an insecure channel without establishing a physically secure channel for key exchange. The RSA cryptosystem is the most popular public key cryptosystem ever invented. It is based on the difficulty of factoring large composite numbers. Once the...
    Resource Type:
    Masters Thesis
    Full Text:
    Lu, Dr. John Kenney, and Dr. Prasad Tadepalli for taking time out of their busy schedules to serve

  • Development of a mobile process to extract phosphorus from livestock wastes as a valuable fertilizer

    Creator:
    Hoilman, Gene
    Abstract:
    Environmental and regulatory concerns are causing confined animal feeding operations (CAFO's) to account for phosphorous content when applying wastewater to agricultural fields for disposal. In most cases this requires more land to spread the waste onto so that the phosphorous needs of the crop are not exceeded. A mobile process...
    Resource Type:
    Masters Thesis
    Full Text:
    ' J1 ,- V v ..... ----- , I ~ , i /- ' J. Ro~~d Miner / ! ,/ ' J E1¾_~if onmental and regulatory

  • Machine learning methods for public policy : simulation, optimization, and visualization

    Creator:
    McGregor, Sean
    Abstract:
    Society faces many complex management problems, particularly in the area of shared public resources such as ecosystems. Existing decision making processes are often guided by personal experience and political ideology rather than state-of-the-art scientific understanding. This dissertation envisions a future in which multiple stakeholders are provided with computational tools for...
    Resource Type:
    Dissertation
    Full Text:
    , Ronald Metoyer, Prasad Tadepalli, Margaret Burnett, and John Bolte for the time and effort they

  • Machine learning in engineering : techniques to speed up numerical optimization

    Creator:
    Cerbone, G. (Giuseppe)
    Abstract:
    Many important application problems in engineering can be formalized as nonlinear optimization tasks. However, numerical methods for solving such problems are brittle and do not scale well. For example, these methods depend critically on choosing a good starting point from which to perform the optimization search. In high-dimensional spaces, numerical...
    Resource Type:
    Dissertation
    Full Text:
    helped me get "logically" started on the 2-D design domain and kept asking me when I would finish

  • Incorporating User Feedback into Machine Learning Systems

    Creator:
    Das, Shubhomoy
    Abstract:
    Although machine learning systems are often effective in real-world applications, there are situations in which they can be even better when provided with some degree of end user feedback. This is especially true when the machine learning system needs to customize itself to the end user's preferences, such as in...
    Resource Type:
    Dissertation
    Full Text:
    systems. I am grateful that Dr. John Dilles volunteered to serve as the Graduate Council Representative