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Filtering by: Creator Williford, Russell S. Remove constraint Creator: Williford, Russell S. Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • An algebraic view of the symmetry of fast transforms

    Creator:
    Ruby, Glenn Russell
    Abstract:
    Why are the fast Fourier transform and the fast Hadamard transform fast? A transform can be computed by multiplying a matrix times a vector, which normally requires 0(n²) operations. The matrices corresponding to these transforms can be rearranged to eliminate redundant computations resulting in O(nlogn) operations. We investigate algebraic reasons...
    Resource Type:
    Masters Thesis
    Full Text:
    ABSTRACT OF THE THESIS OF Glenn Russell Ruby for the degree of Master of Science in Computer Science

  • Personalized information management systems with tutorial capabilities

    Creator:
    Oman, Paul W.
    Abstract:
    Technological advances of the last three decades have caused an enormous increase in the amount of published and unpublished information generated by our society. This inflation has created the need for improved information management systems. Existing systems are inadequate primarily because they are discipline-oriented and lack the flexibility that is...
    Resource Type:
    Masters Thesis
    Full Text:
    Thanks to: Dr. William S. Bregar and Dr. Donna F. Cruse for guidance and continued patience. JoAnn

  • Learning functional descriptions from examples

    Creator:
    Flann, Nicholas S.
    Abstract:
    The task of inductive learning from examples places constraints on the representation of training instances and concepts. These constraints are different from, and often incompatible with, the constraints placed on the representation by the performance task. This incompatibility is severe when learning functional concepts and explains why previous researchers have...
    Resource Type:
    Masters Thesis
    Full Text:
    ABSTRACT OF THE THESIS OF Nicholas S. Flann for the degree of Master of Science in Computer Science pre

  • Learning MDP action models via discrete mixture trees

    Creator:
    Wynkoop, Michael S.
    Abstract:
    This thesis addresses the problem of learning dynamic Bayesian network (DBN) models to support reinforcement learning. It focuses on learning regression tree models of the conditional probability distributions of the DBNs. Existing algorithms presume that the stochasticity in the domain can be modeled as a deterministic function with additive noise....
    Resource Type:
    Masters Thesis
    Full Text:
    OF Michael S. Wynkoop for the degree of Masters of Science in Computer Science presented on June 9

  • Exploring and Implementing the "Monitoring of a Multi-stage Manufacturing Process" using Dynamic Bayesian Networks

    Creator:
    Jearanaitanakij, Kietikul (Lee)
    Abstract:
    Hewlett-Packard (HP) is one of the world's largest computer companies and the foremost producer of test and measurement instruments. In Corvallis, Oregon, HP manufactures several precision products on high speed, automated assembly lines. The alignment process of a cap to a base part is one of the essential processes in...
    Resource Type:
    Capstone Project
    Full Text:
    by Binder, Murphy, and Russell that solves similar problem with a different idea from the algorithm

  • Model-based approximation methods for reinforcement learning

    Creator:
    Wang, Xin
    Abstract:
    The thesis focuses on model-based approximation methods for reinforcement learning with large scale applications such as combinatorial optimization problems. First, the thesis proposes two new model-based methods to stablize the value–function approximation for reinforcement learning. The first one is the BFBP algorithm, a batch-like reinforcement learning process which iterates between...
    Resource Type:
    Dissertation
    Full Text:
    learn- ing algorithm. In our approach, we learn the models P (s′|s, a) and R(s′|s, a), and then use

  • How does AAR/AI Support Problem Solvers with Diverse Behaviors and Cognitive Styles?

    Creator:
    Dikkala, Rupika
    Abstract:
    "What’s wrong with this AI?" Explainable AI (XAI) researchers are moving beyond explaining an AI’s actions, to helping users detect an AI’s failures. However this detection may not be enough—for actionability, we often need to pinpoint which part failed. We investigate how AAR/AI, a structured assessment process, supports users with...
    Resource Type:
    Masters Thesis
    Full Text:
    a fault localization task in a reinforce- ment learning (RL) agent. In Study 1’s qualitative

  • Hierarchical average reward reinforcement learning

    Creator:
    Seri, Sandeep
    Abstract:
    Reinforcement Learning (RL) is the study of agents that learn optimal behavior by interacting with and receiving rewards and punishments from an unknown environment. RL agents typically do this by learning value functions that assign a value to each state (situation) or to each state-action pair. Recently, there has been...
    Resource Type:
    Masters Thesis
    Full Text:
    my father, Sri S. Ram Kumar (1948 - 1998). HIERARCHICAL AVERAGE REWARD REINFORCEMENT LEARNING 1

  • On Avoiding Power-Seeking by Artificial Intelligence

    Creator:
    Turner, Alexander M.
    Abstract:
    We do not know how to align a very intelligent AI agent's behavior with human interests. I investigate whether—absent a full solution to this AI alignment problem—we can build smart {\ai} agents which have limited impact on the world, and which do not autonomously seek power. In this thesis, I...
    Resource Type:
    Dissertation
    Full Text:
    , f ′ ∈ Fnd(s) : f ̸= f ′ =⇒ ∀γ ∈ (0, 1) : f(γ) ̸= f ′(γ) . . . . . . . . . . . . 244 F.5 A state’s

  • Multi-criteria average reward reinforcement learning

    Creator:
    Natarajan, Sriraam
    Abstract:
    Reinforcement learning (RL) is the study of systems that learn from interaction with their environment. The current framework of Reinforcement Learning is based on receiving scalar rewards, which the agent aims to maximize. But in many real world situations, tradeoffs must be made among multiple objectives. This necessitates the use...
    Resource Type:
    Masters Thesis
    Full Text:
    , findings, and conclusions or recommendations expressed in this material are those of the author(s) and do