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    RECOMB
    2005
    Springer
    183views Computational Biology» more  RECOMB 2005»
    Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
    15 years 10 months ago
    Predicting Protein-Peptide Binding Affinity by Learning Peptide-Peptide Distance Functions
    Download  www.cs.huji.ac.il
    Many important cellular response mechanisms are activated when a peptide binds to an appropriate receptor. In the immune system, the recognition of pathogen peptides begins when th...
    Chen Yanover, Tomer Hertz
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    BMCBI
    2006
    111views more  BMCBI 2006»
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    14 years 10 months ago
    PepDist: A New Framework for Protein-Peptide Binding Prediction based on Learning Peptide Distance Functions
    Download  www.biomedcentral.com
    Background: Many different aspects of cellular signalling, trafficking and targeting mechanisms are mediated by interactions between proteins and peptides. Representative examples...
    Tomer Hertz, Chen Yanover
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    AAAI
    1998
    156views Intelligent Agents» more  AAAI 1998»
    Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
    14 years 11 months ago
    Learning Evaluation Functions for Global Optimization and Boolean Satisfiability
    Download  www.aaai.org
    This paper describes STAGE, a learning approach to automatically improving search performance on optimization problems.STAGElearns an evaluation function which predicts the outcom...
    Justin A. Boyan, Andrew W. Moore
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    RECOMB
    2007
    Springer
    190views Computational Biology» more  RECOMB 2007»
    Minimizing and Learning Energy Functions for Side-Chain Prediction
    15 years 10 months ago
    Minimizing and Learning Energy Functions for Side-Chain Prediction
    Download  www.cs.huji.ac.il
    Abstract. Side-chain prediction is an important subproblem of the general protein folding problem. Despite much progress in side-chain prediction, performance is far from satisfact...
    Chen Yanover, Ora Schueler-Furman, Yair Weiss
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    NIPS
    1990
    266views Information Technology» more  NIPS 1990»
    Bumptrees for Efficient Function, Constraint and Classification Learning
    14 years 11 months ago
    Bumptrees for Efficient Function, Constraint and Classification Learning
    Download  www.icsi.berkeley.edu
    A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
    Stephen M. Omohundro
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