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  • R factor transfer among bacteria isolated from the environment

    Creator:
    Latimer, Joan Marie
    Resource Type:
    Masters Thesis
    Full Text:
    . L. Fryer R S S S S S S S Aeromonas Dr. R. H. McCoy liquefaciens 17 Media Organisms to be

  • Editorial : exploratory research in machine learning

    Creator:
    Dietterich, Thomas G.
    Abstract:
    Exploratory research contributes to the continued vitality of every discipline. The aim of exploratory research is to identify new tasks-tasks that cannot be solved by existing methods. Once a new task has been found, exploratory research seeks to develop a precise definition of the task and to understand the factors...
    Resource Type:
    Technical Report
    Full Text:
    , J. C., & Granger, R. H. Jr. (1986). Beyond incremental processing: Tracking concept drift

  • Learning at the knowledge level

    Creator:
    Dietterich, Thomas G.
    Abstract:
    When Newell introduced the concept of the knowledge level as a useful level of description for computer systems, he focused on the representation of knowl­edge. This paper applies the knowledge level notion to the problem of knowl­edge acquisition. Two interesting issues arise. First, some existing machine learning programs appear to...
    Resource Type:
    Technical Report
    Full Text:
    Knowledge Level Thomas G. Dietterich Department of Computer Science Oregon State University Corvallis

  • A knowledge level analysis of learning programs

    Creator:
    Dietterich, Thomas G.
    Abstract:
    This chapter develops a taxonomy of learning methods using techniques based on Newell’s knowledge level. Two properties of each system are defined: knowl­edge level predictability and knowledge level learning. A system is predictable at the knowledge level if the principle of rationality can be applied to predict its behavior. A...
    Resource Type:
    Technical Report
    Full Text:
    ANALYSIS OF LEARNING PROGRAMS1 Thomas G. Dietterich Department of Computer Science Oregon State

  • Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

    Creator:
    Zemicheal, Tadesse H.
    Abstract:
    Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...
    Resource Type:
    Dissertation
    Full Text:
    0.850 0.875 0.900 0.925 0.950 Co rre la tio n of R EL H (b) RELH sensor 25 50 75 100 125

  • Disjunctions in forward chaining logic programming

    Creator:
    Corpron, Daniel R.
    Abstract:
    A forward-chaining logic programming system (FORLOG) has been developed at Oregon State University. This system coupled with an assumption-based truth maintenance system (ATMS), provides an alternative to the logic programming paradigm of backward-chaining with Horn clauses. To compare FORLOG to this paradigm, we define a subset of FORLOG, called mini-FORLOG,...
    Resource Type:
    Masters Thesis
    Full Text:
    Abstract of the Thesis of Daniel R. Corpron for the degree of Master of Science in Computer Science

  • Just enough die-level functional test : optimizing IC test via machine learning and decision theory

    Creator:
    Fountain, Tony R.
    Abstract:
    This research explores the hypothesis that methods from decision theory and machine learning can be combined to provide practical solutions to current manufacturing control problems. This hypothesis is explored by developing an integrated approach to solving one manufacturing problem - the optimization of die-level functional test. An integrated circuit (IC)...
    Resource Type:
    Dissertation
    Full Text:
    machine learning and decision theory AN ABSTRACT OF THE THESIS OF Tony R. Fountain for the degree of

  • A force plate for measuring contact forces during dependent transfers onboard aircraft

    Creator:
    Schafer, Christopher A.
    Abstract:
    The transfer of air travelers with disabilities between a mobility aid and an aircraft seat is a major source of injury for both the travelers and the airline personnel assisting in the transfer. The risk to both parties might be reduced through the biomechanical study of the transfer task. Such...
    Resource Type:
    Masters Thesis
    Full Text:
    for Measuring Contact Forces During Dependent Transfers Onboard Aircraft. Abstract approved: r

  • 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:
    Methods for Reinforcement Learning. Abstract approved: Thomas G Dietterich The thesis focuses on model

  • Efficient algorithms for identifying relevant features

    Creator:
    Almuallim, Hussein and Dietterich, Thomas G.
    Abstract:
    This paper describes efficient methods for exact and approximate implementation of the MIN-FEATURES bias, which prefers consistent hypotheses definable over as few features as possible. This bias is useful for learning domains where many irrelevant features are present in the training data. We first introduce FOCUS-2, a new algorithm that...
    Resource Type:
    Technical Report
    Full Text:
    the NSF under grant number IRI-86- 57316. References [Almuallim and Dietterich 91) Almuallim, H