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    AGENTS
    1999
    Springer
    126views Security Privacy» more  AGENTS 1999»
    General Principles of Learning-Based Multi-Agent Systems
    13 years 9 months ago
    General Principles of Learning-Based Multi-Agent Systems
    Download  web.engr.oregonstate.edu
    We consider the problem of how to design large decentralized multiagent systems (MAS’s) in an automated fashion, with little or no hand-tuning. Our approach has each agent run a...
    David Wolpert, Kevin R. Wheeler, Kagan Tumer
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    NIPS
    2001
    97views Information Technology» more  NIPS 2001»
    Generalization Performance of Some Learning Problems in Hilbert Functional Spaces
    13 years 6 months ago
    Generalization Performance of Some Learning Problems in Hilbert Functional Spaces
    Download  books.nips.cc
    We investigate the generalization performance of some learning problems in Hilbert functional Spaces. We introduce a notion of convergence of the estimated functional predictor to...
    T. Zhang
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    NIPS
    2001
    142views Information Technology» more  NIPS 2001»
    On the Generalization Ability of On-Line Learning Algorithms
    13 years 6 months ago
    On the Generalization Ability of On-Line Learning Algorithms
    Download  homes.dsi.unimi.it
    In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
    Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...
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    ICML
    2006
    IEEE
    131views Machine Learning» more  ICML 2006»
    Generalized spectral bounds for sparse LDA
    14 years 6 months ago
    Generalized spectral bounds for sparse LDA
    Download  www.machinelearning.org
    We present a discrete spectral framework for the sparse or cardinality-constrained solution of a generalized Rayleigh quotient. This NPhard combinatorial optimization problem is c...
    Baback Moghaddam, Yair Weiss, Shai Avidan
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    TNN
    2010
    143views Management» more  TNN 2010»
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    12 years 12 months ago
    Using unsupervised analysis to constrain generalization bounds for support vector classifiers
    Download  www.smartlab.dibe.unige.it
    Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
    Sergio Decherchi, Sandro Ridella, Rodolfo Zunino, ...
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