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Filtering by: Creator Kuhta, Nicholas A. Remove constraint Creator: Kuhta, Nicholas A. Degree Field Computer Science Remove constraint Degree Field: Computer Science Language English [eng] Remove constraint Language: English [eng]

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  • Correct abstraction in counter-planning : a knowledge compilation approach

    Creator:
    Flann, Nicholas S.
    Abstract:
    Knowledge compilation improves search-intensive problem-solvers that are easily specified but inefficient. One promising approach improves efficiency by constructing a database of problem-instance/best-action pairs that replace problem-solving search with efficient lookup. The database is constructed by reverse enumeration- expanding the complete search space backwards, from the terminal problem instances. This approach...
    Resource Type:
    Dissertation
    Full Text:
    Approach By Nicholas S. Flann A Thesis submitted to Oregon State University in partial fulfillment of

  • 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

  • Supporting merge comprehension when resolving merge conflicts

    Creator:
    Nelson, Nicholas
    Abstract:
    Distributed version control allows developers to manage software evolution among distributed development teams. But it does not eliminate all consistency and concurrency issues, and instead introduces additional complexity when merging code. And resolving merge conflicts is nontrivial when automated merging fails. In such cases, developers are forced to inspect the...
    Resource Type:
    Dissertation
    Full Text:
    Nicholas Nelson A DISSERTATION submitted to Oregon State University in partial fulfillment of the

  • PC++ : an extension of C++ for parallel programming

    Creator:
    Bae, Myungmun
    Abstract:
    Understanding of techniques that can be used to develop software for various parallel machines has not fully matched the dramatic progress in hardware in recent years. Most parallel programming techniques have been closely tied to specific hardware. Different machines have different primitives and architectures. Programming and porting an application with...
    Resource Type:
    Capstone Project
    Full Text:
    ©mist.cs.orst.edu A research paper submitted to Oregon State University in partial fulfillment 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

  • 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:
    : Rebecca A. Hutchinson Ecological domains seeking to understand the environment and the behavior of

  • Species Distribution Modeling of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise

    Creator:
    He, Liqiang
    Abstract:
    Species distribution models (SDM), which quantify the correlation between the distribution of a species and environmental factors, are increasingly used to map and monitor animal and plant distributions in the context of awareness of environmental change and its ecological consequence. For perfect data, this is a straightforward classification problem from...
    Resource Type:
    Masters Thesis
    Full Text:
    of Citizen Science Data as A Classification Problem with Class-Conditional Label Noise Abstract

  • Analytical Methods for Improving Causal Inference

    Creator:
    Sinha, Meghamala
    Abstract:
    Causal inference is an important analytical tool to bridge the gap between prediction and decision-making. However, learning a causal network solely from data is a challenging task. In this work, various techniques have been explored for a better and improved causal network learning from data. Firstly, the problem of learning...
    Resource Type:
    Dissertation
    Full Text:
    : Analytical Methods for Improving Causal Inference Abstract approved: Stephen A. Ramsey Causal inference is

  • Recurrent Neural Networks for Robotic Control of a Human-Scale Bipedal Robot

    Creator:
    Siekmann, Jonah A.
    Abstract:
    Dynamic bipedal locomotion is among the most difficult and yet relevant problems in modern robotics. While a multitude of classical control methods for bipedal locomotion exist, they are often brittle or limited in capability. In recent years, work in applying reinforcement learning to robotics has lead to superior performance across...
    Resource Type:
    Honors College Thesis
    Full Text:
    ://ieeexplore.ieee.org/ document/8460618. [8] Nicholas Paine, Joshua S Mehling, James Holley, Nicolaus A Radford

  • Linda-Smalltalk : parallel implementation of Little Smalltalk using tuple space communication of Linda

    Creator:
    Chung, Jean H.
    Abstract:
    A new technique of implementing the object-oriented language Little Smalltalk is developed using tuple space communication of Linda. In this implementation, the language's abstract constructs such as object, class, and method are naturally mapped into tuple space. Since Linda's tuple space is designed to facilitate parallel processing, this implementation technique...
    Resource Type:
    Capstone Project
    Full Text:
    Department of Computer Science Oregon State University Corvallis, Oregon 97331 chungj@cs.orst.edu A