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    » Adaptive Prototype Learning Algorithms: Theoretical and Expe...
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    TON
    2008
    139views more  TON 2008»
    Stochastic learning solution for distributed discrete power control game in wireless data networks
    13 years 7 months ago
    Stochastic learning solution for distributed discrete power control game in wireless data networks
    Download  koala.ece.stevens-tech.edu
    Distributed power control is an important issue in wireless networks. Recently, noncooperative game theory has been applied to investigate interesting solutions to this problem. Th...
    Yiping Xing, Rajarathnam Chandramouli
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    ICIAP
    2005
    ACM
    170views Image Processing» more  ICIAP 2005»
    A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
    14 years 7 months ago
    A Neural Adaptive Algorithm for Feature Selection and Classification of High Dimensionality Data
    Download  www.dicom.uninsubria.it
    In this paper, we propose a novel method which involves neural adaptive techniques for identifying salient features and for classifying high dimensionality data. In particular a ne...
    Elisabetta Binaghi, Ignazio Gallo, Mirco Boschetti...
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    ML
    2006
    ACM
    142views Machine Learning» more  ML 2006»
    The max-min hill-climbing Bayesian network structure learning algorithm
    13 years 7 months ago
    The max-min hill-climbing Bayesian network structure learning algorithm
    Download  www.dsl-lab.org
    We present a new algorithm for Bayesian network structure learning, called Max-Min Hill-Climbing (MMHC). The algorithm combines ideas from local learning, constraint-based, and sea...
    Ioannis Tsamardinos, Laura E. Brown, Constantin F....
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    ESANN
    2008
    136views Neural Networks» more  ESANN 2008»
    Generalized matrix learning vector quantizer for the analysis of spectral data
    13 years 9 months ago
    Generalized matrix learning vector quantizer for the analysis of spectral data
    Download  www.dice.ucl.ac.be
    The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
    Petra Schneider, Frank-Michael Schleif, Thomas Vil...
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    ICML
    2009
    IEEE
    159views Machine Learning» more  ICML 2009»
    Efficient learning algorithms for changing environments
    14 years 8 months ago
    Efficient learning algorithms for changing environments
    Download  www.cs.princeton.edu
    We study online learning in an oblivious changing environment. The standard measure of regret bounds the difference between the cost of the online learner and the best decision in...
    Elad Hazan, C. Seshadhri
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