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    ECML
    2005
    Springer
    129views Machine Learning» more  ECML 2005»
    Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence
    16 years 24 days ago
    Bayesian Network Learning with Abstraction Hierarchies and Context-Specific Independence
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    Marie desJardins, Priyang Rathod, Lise Getoor
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    COLT
    2004
    Springer
    89views Machine Learning» more  COLT 2004»
    A Function Representation for Learning in Banach Spaces
    16 years 20 days ago
    A Function Representation for Learning in Banach Spaces
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    Charles A. Micchelli, Massimiliano Pontil
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    ECML
    2004
    Springer
    157views Machine Learning» more  ECML 2004»
    Model Approximation for HEXQ Hierarchical Reinforcement Learning
    16 years 20 days ago
    Model Approximation for HEXQ Hierarchical Reinforcement Learning
    Download  www.cse.unsw.edu.au
    HEXQ is a reinforcement learning algorithm that discovers hierarchical structure automatically. The generated task hierarchy repthe problem at different levels of abstraction. In ...
    Bernhard Hengst
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    ECML
    2004
    Springer
    52views Machine Learning» more  ECML 2004»
    Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers
    16 years 20 days ago
    Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers
    Download  ilpubs.stanford.edu
    Satoshi Oyama, Christopher D. Manning
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    KR
    2004
    Springer
    111views Automated Reasoning» more  KR 2004»
    Learning Probabilistic Relational Planning Rules
    16 years 19 days ago
    Learning Probabilistic Relational Planning Rules
    Download  people.csail.mit.edu
    To learn to behave in highly complex domains, agents must represent and learn compact models of the world dynamics. In this paper, we present an algorithm for learning probabilist...
    Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kae...
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