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Filtering by: Creator Schneider, B. Remove constraint Creator: Schneider, B. Advisor Dietterich, Thomas G. Remove constraint Advisor: Dietterich, Thomas G. File Format application/pdf Remove constraint File Format: application/pdf

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  • 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:
    --- Note: a Nucleic acid sequences, as of Dec. 15, 2005. b Protein sequences, as of Jan. 10, 2006. c

  • 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:
    for controlling an autonomous helicopter(Bagnell & Schneider, 2001). 1.4.3 Contribution Algorithm