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  • Accuracy versus cost in distributed data mining

    Creator:
    Deutschman, Stephanie
    Abstract:
    A basic tradeoff to consider when designing a distributed data-mining framework is the need for a compromise between the cost of communication and computation resources and the accuracy of the mining results. This is essentially a decision of whether it is more efficient to communicate all of the data to...
    Resource Type:
    Masters Thesis
    Full Text:
    , California, one in Houston, Texas, and one in Corvallis, Oregon. Each of the processors is a Hewlett

  • A practical implementation of self-efficacy theory to improve the engineering curriculum

    Creator:
    Plisch, Marjorie
    Abstract:
    What are the most effective ways to improve the engineering curriculum? Improvements should result in increased student retention, undergraduates who are more industry-ready and graduates who are better prepared to be leaders. Current research suggests that the best predictor of persistence is a person’s self-efficacy. The focus of this thesis...
    Resource Type:
    Masters Thesis
    Full Text:
    EECS at Oregon State University has already been making an effort to improve the undergraduate

  • Ocean electric energy extraction opportunities

    Creator:
    Zhang, Heng
    Abstract:
    The world's oceans contain tremendous renewable energy potentials. It is estimated that if 0.2% of the ocean's untapped energy could be harnessed, it could provide power sufficient for the entire world [1]. This thesis provides a comprehensive description of the state-of-the-art of ocean energy extraction technologies and lessons learned from...
    Resource Type:
    Masters Thesis
    Full Text:
    to be considered toward the commercialization of this type of renewable energy are investigated and

  • Discrete trap modeling of thin-film transistors

    Creator:
    Yerubandi, Ganesh Chakravarthy
    Abstract:
    A discrete trap model is developed and employed for elucidation of thin-film transistor (TFT) device physics trends. An attractive feature of this model is that only two model parameters are required, the trap energy depth, E[subscript T], and the trap density, N[subscript T]. The most relevant trends occur when E[subscript...
    Resource Type:
    Masters Thesis
    Full Text:
    electrons populating the conduction band. VT moves toward a more positive voltage as NT and ET increase

  • 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:
    value–function approximation for reinforcement learning. The first one is the BFBP algorithm, a batch

  • Gender differences in end-user debugging strategies

    Creator:
    Narayanan, Vaishnavi
    Abstract:
    There has been little prior research reporting strategy usage in end-user problem solving, and even less using gender as a factor. Without this type of information, enduser programming systems cannot know the “target” at which to aim, if they are to support male and female end-user programmers’ debugging. As a...
    Resource Type:
    Masters Thesis
    Full Text:
    Oregon State University in partial fulfillment of the requirements for the degree

  • Fast algorithms and applications for multi-dimensional least-squares-based minimum variance spectral estimation

    Creator:
    Wei, Lin
    Abstract:
    The main contributions of this thesis are the development and application of four computationally efficient solutions for least-squares-based (LS-based) minimum variance spectral estimation (MVSE). They are: (1) fast computational solution for the 1-D covariance LS-based MVSE, (2) fast computational solution for the 1-D modified covariance LS-based MVSE, (3) fast computational...
    Resource Type:
    Dissertation
    Full Text:
    solutions when the estimation order in one of the two dimensions is set to zero. MVSEs are high-resolution

  • Structured gradient boosting

    Creator:
    Parker, Charles (Charles Lincoln)
    Abstract:
    The goal of many machine learning problems can be formalized as the creation of a function that can properly classify an input vector, given a set of examples of that function. While this formalism has produced a number of success stories, there are notable situations in which it fails. One...
    Resource Type:
    Dissertation
    Full Text:
    situations in which it fails. One such situation arises when the class labels are composed of multiple

  • Processing sequences of chromatophore images with application to a signal transduction pathway modeling

    Creator:
    Orhanovic, Iva
    Abstract:
    Systems biology is becoming increasingly important for the study of living organisms. It focuses on the mathematical understanding of biological systems. Cells, the basic units of all living creatures, are biological systems of major interest. Considerable work is being done towards modeling cells as mathematical systems. At the same time,...
    Resource Type:
    Dissertation

  • 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:
    -dimensions. Its task is to assign each residue one of the three secondary structure classes helix, strand