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    IJCAI
    2007
    262views Artificial Intelligence» more  IJCAI 2007»
    Emergence of Norms through Social Learning
    15 years 4 months ago
    Emergence of Norms through Social Learning
    Download  www.ijcai.org
    Behavioral norms are key ingredients that allow agent coordination where societal laws do not sufficiently constrain agent behaviors. Whereas social laws need to be enforced in a...
    Sandip Sen, Stéphane Airiau
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    ICML
    2008
    IEEE
    150views Machine Learning» more  ICML 2008»
    Multi-task compressive sensing with Dirichlet process priors
    16 years 4 months ago
    Multi-task compressive sensing with Dirichlet process priors
    Download  people.ee.duke.edu
    Compressive sensing (CS) is an emerging field that, under appropriate conditions, can significantly reduce the number of measurements required for a given signal. In many applicat...
    Yuting Qi, Dehong Liu, David B. Dunson, Lawrence C...
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    128
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    FLAIRS
    2003
    160views Artificial Intelligence» more  FLAIRS 2003»
    Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System
    15 years 4 months ago
    Identifying Inhabitants of an Intelligent Environment Using a Graph-Based Data Mining System
    Download  www.aaai.org
    The goal of the MavHome smart home project is to build an intelligent home environment that is aware of its inhabitants and their activities. Such a home is designed to provide ma...
    Ritesh Mehta, Diane J. Cook, Lawrence B. Holder
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    171
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    SDM
    2012
    SIAM
    252views Data Mining» more  SDM 2012»
    Learning from Heterogeneous Sources via Gradient Boosting Consensus
    13 years 5 months ago
    Learning from Heterogeneous Sources via Gradient Boosting Consensus
    Download  david.grangier.info
    Multiple data sources containing different types of features may be available for a given task. For instance, users’ profiles can be used to build recommendation systems. In a...
    Xiaoxiao Shi, Jean-François Paiement, David...
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    151
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    GECCO
    2000
    Springer
    142views Optimization» more  GECCO 2000»
    Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
    15 years 7 months ago
    Controlling Effective Introns for Multi-Agent Learning by Genetic Programming
    Download  www.iba.t.u-tokyo.ac.jp
    This paper presents the emergence of the cooperative behavior for multiple agents by means of Genetic Programming (GP). For the purpose of evolving the effective cooperative behav...
    Hitoshi Iba, Makoto Terao
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