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    FCT
    2007
    Springer
    151views Applied Computing» more  FCT 2007»
    On Approximating Optimal Weighted Lobbying, and Frequency of Correctness Versus Average-Case Polynomial Time
    13 years 11 months ago
    On Approximating Optimal Weighted Lobbying, and Frequency of Correctness Versus Average-Case Polynomial Time
    Download  ccc.cs.uni-duesseldorf.de
    We investigate issues regarding two hard problems related to voting, the optimal weighted lobbying problem and the winner problem for Dodgson elections. Regarding the former, Chris...
    Gábor Erdélyi, Lane A. Hemaspaandra,...
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    NIPS
    2007
    232views Information Technology» more  NIPS 2007»
    The Tradeoffs of Large Scale Learning
    13 years 9 months ago
    The Tradeoffs of Large Scale Learning
    Download  books.nips.cc
    This contribution develops a theoretical framework that takes into account the effect of approximate optimization on learning algorithms. The analysis shows distinct tradeoffs for...
    Léon Bottou, Olivier Bousquet
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    ICDAR
    2009
    IEEE
    117views Document Analysis» more  ICDAR 2009»
    Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
    13 years 5 months ago
    Low Cost Correction of OCR Errors Using Learning in a Multi-Engine Environment
    Download  www.cvc.uab.es
    We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
    Ahmad Abdulkader, Mathew R. Casey
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    COLT
    1992
    Springer
    107views Machine Learning» more  COLT 1992»
    Toward Efficient Agnostic Learning
    13 years 11 months ago
    Toward Efficient Agnostic Learning
    Download  www.cs.princeton.edu
    In this paper we initiatean investigationof generalizationsof the ProbablyApproximatelyCorrect (PAC) learningmodelthat attemptto significantlyweakenthe target functionassumptions.T...
    Michael J. Kearns, Robert E. Schapire, Linda Selli...
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    STOC
    1991
    ACM
    84views Algorithms» more  STOC 1991»
    Self-Testing/Correcting for Polynomials and for Approximate Functions
    13 years 11 months ago
    Self-Testing/Correcting for Polynomials and for Approximate Functions
    Download  www.math.ias.edu
    The study of self-testing/correcting programs was introduced in [8] in order to allow one to use program P to compute function f without trusting that P works correctly. A self-te...
    Peter Gemmell, Richard J. Lipton, Ronitt Rubinfeld...
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