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    COLT
    1997
    Springer
    103views Machine Learning» more  COLT 1997»
    On-line Learning and the Metrical Task System Problem
    14 years 1 months ago
    On-line Learning and the Metrical Task System Problem
    Download  reference.kfupm.edu.sa
    We relate two problems that have been explored in two distinct communities. The first is the problem of combining expert advice, studied extensively in the computational learning...
    Avrim Blum, Carl Burch
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    AI
    2007
    Springer
    181views Artificial Intelligence» more  AI 2007»
    Learning action models from plan examples using weighted MAX-SAT
    13 years 9 months ago
    Learning action models from plan examples using weighted MAX-SAT
    Download  www.cs.ust.hk
    AI planning requires the definition of action models using a formal action and plan description language, such as the standard Planning Domain Definition Language (PDDL), as inp...
    Qiang Yang, Kangheng Wu, Yunfei Jiang
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    BMCBI
    2008
    228views more  BMCBI 2008»
    Adaptive diffusion kernel learning from biological networks for protein function prediction
    13 years 9 months ago
    Adaptive diffusion kernel learning from biological networks for protein function prediction
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    Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
    Liang Sun, Shuiwang Ji, Jieping Ye
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    JAIR
    2008
    119views more  JAIR 2008»
    A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
    13 years 9 months ago
    A Multiagent Reinforcement Learning Algorithm with Non-linear Dynamics
    Download  www.ece.utk.edu
    Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
    Sherief Abdallah, Victor R. Lesser
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    APIN
    2004
    116views more  APIN 2004»
    Neural Learning from Unbalanced Data
    13 years 9 months ago
    Neural Learning from Unbalanced Data
    Download  sci2s.ugr.es
    This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
    Yi Lu Murphey, Hong Guo, Lee A. Feldkamp
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