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    COLT
    1995
    Springer
    115views Machine Learning» more  COLT 1995»
    The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant
    13 years 11 months ago
    The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant
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    Jyrki Kivinen, Manfred K. Warmuth
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    COLT
    1995
    Springer
    124views Machine Learning» more  COLT 1995»
    Learning to Reason with a Restricted View
    13 years 11 months ago
    Learning to Reason with a Restricted View
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    Roni Khardon, Dan Roth
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    COLT
    1995
    Springer
    106views Machine Learning» more  COLT 1995»
    An Experimental and Theoretical Comparison of Model Selection Methods
    13 years 11 months ago
    An Experimental and Theoretical Comparison of Model Selection Methods
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    Michael J. Kearns, Yishay Mansour, Andrew Y. Ng, D...
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    COLT
    1995
    Springer
    124views Machine Learning» more  COLT 1995»
    A Comparison of New and Old Algorithms for a Mixture Estimation Problem
    13 years 11 months ago
    A Comparison of New and Old Algorithms for a Mixture Estimation Problem
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    We investigate the problem of estimating the proportion vector which maximizes the likelihood of a given sample for a mixture of given densities. We adapt a framework developed for...
    David P. Helmbold, Yoram Singer, Robert E. Schapir...
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    COLT
    1995
    Springer
    99views Machine Learning» more  COLT 1995»
    Reductions for Learning via Queries
    13 years 11 months ago
    Reductions for Learning via Queries
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    William I. Gasarch, Geoffrey R. Hird
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    COLT
    1995
    Springer
    94views Machine Learning» more  COLT 1995»
    Learning to Model Sequences Generated by Switching Distributions
    13 years 11 months ago
    Learning to Model Sequences Generated by Switching Distributions
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    Yoav Freund, Dana Ron
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    COLT
    1995
    Springer
    84views Machine Learning» more  COLT 1995»
    On Learning Bounded-Width Branching Programs
    13 years 11 months ago
    On Learning Bounded-Width Branching Programs
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    In this paper, we study PAC-leaming algorithms for specialized classes of deterministic finite automata (DFA). Inpartictdar, we study branchingprogrsms, and we investigate the int...
    Funda Ergün, Ravi Kumar, Ronitt Rubinfeld
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    COLT
    1995
    Springer
    81views Machine Learning» more  COLT 1995»
    Learning DNF over the Uniform Distribution using a Quantum Example Oracle
    13 years 11 months ago
    Learning DNF over the Uniform Distribution using a Quantum Example Oracle
    Download  www.mathcs.duq.edu
    Nader H. Bshouty, Jeffrey C. Jackson
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    COLT
    1995
    Springer
    124views Machine Learning» more  COLT 1995»
    Learning with Unreliable Boundary Queries
    13 years 11 months ago
    Learning with Unreliable Boundary Queries
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    We introduce a new model for learning with membership queries in which queries near the boundary of a target concept may receive incorrect or “don’t care” responses. In part...
    Avrim Blum, Prasad Chalasani, Sally A. Goldman, Do...
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    COLT
    1995
    Springer
    95views Machine Learning» more  COLT 1995»
    Online Learning via Congregational Gradient Descent
    13 years 11 months ago
    Online Learning via Congregational Gradient Descent
    Download  eceserv0.ece.wisc.edu
    Kim L. Blackmore, Robert C. Williamson, Iven M. Y....
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