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    AGENTS
    1999
    Springer
    126views Security Privacy» more  AGENTS 1999»
    General Principles of Learning-Based Multi-Agent Systems
    14 years 18 hour 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 9 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 9 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 8 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
    13 years 2 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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