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    ML
    2007
    ACM
    153views Machine Learning» more  ML 2007»
    Multi-Class Learning by Smoothed Boosting
    13 years 11 months ago
    Multi-Class Learning by Smoothed Boosting
    Download  www.springerlink.com
    AdaBoost.OC has been shown to be an effective method in boosting “weak” binary classifiers for multi-class learning. It employs the Error-Correcting Output Code (ECOC) method ...
    Rong Jin, Jian Zhang 0003
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    ML
    2002
    ACM
    141views Machine Learning» more  ML 2002»
    On the Existence of Linear Weak Learners and Applications to Boosting
    13 years 11 months ago
    On the Existence of Linear Weak Learners and Applications to Boosting
    Download  www.ece.mcgill.ca
    We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
    Shie Mannor, Ron Meir
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    ML
    2002
    ACM
    167views Machine Learning» more  ML 2002»
    Linear Programming Boosting via Column Generation
    13 years 11 months ago
    Linear Programming Boosting via Column Generation
    Download  www.rpi.edu
    We examine linear program (LP) approaches to boosting and demonstrate their efficient solution using LPBoost, a column generation based simplex method. We formulate the problem as...
    Ayhan Demiriz, Kristin P. Bennett, John Shawe-Tayl...
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    JMLR
    2002
    140views more  JMLR 2002»
    On Boosting with Polynomially Bounded Distributions
    13 years 11 months ago
    On Boosting with Polynomially Bounded Distributions
    Download  jmlr.csail.mit.edu
    We construct a framework which allows an algorithm to turn the distributions produced by some boosting algorithms into polynomially smooth distributions (w.r.t. the PAC oracle...
    Nader H. Bshouty, Dmitry Gavinsky
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    CORR
    2000
    Springer
    100views Education» more  CORR 2000»
    Boosting Applied to Word Sense Disambiguation
    13 years 11 months ago
    Boosting Applied to Word Sense Disambiguation
    Download  www.lsi.upc.edu
    In this paper Schapire and Singer's AdaBoost.MH boosting algorithm is applied to the Word Sense Disambiguation (WSD) problem. Initial experiments on a set of 15 selected polys...
    Gerard Escudero, Lluís Màrquez, Germ...
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    PRL
    2008
    213views more  PRL 2008»
    Boosting recombined weak classifiers
    13 years 11 months ago
    Boosting recombined weak classifiers
    Download  pisuerga.inf.ubu.es
    Boosting is a set of methods for the construction of classifier ensembles. The differential feature of these methods is that they allow to obtain a strong classifier from the comb...
    Juan José Rodríguez, Jesús Ma...
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    NECO
    2006
    157views more  NECO 2006»
    Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
    13 years 11 months ago
    Experiments with AdaBoost.RT, an Improved Boosting Scheme for Regression
    Download  www.ihe.nl
    The application of boosting technique to the regression problems has received relatively little attention in contrast to the research aimed at classification problems. This paper ...
    Durga L. Shrestha, Dimitri P. Solomatine
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    JMLR
    2006
    105views more  JMLR 2006»
    Some Theory for Generalized Boosting Algorithms
    13 years 11 months ago
    Some Theory for Generalized Boosting Algorithms
    Download  www.stat.berkeley.edu
    We give a review of various aspects of boosting, clarifying the issues through a few simple results, and relate our work and that of others to the minimax paradigm of statistics. ...
    Peter J. Bickel, Yaacov Ritov, Alon Zakai
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    COMSIS
    2006
    156views more  COMSIS 2006»
    A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
    13 years 11 months ago
    A Comparison of the Bagging and the Boosting Methods Using the Decision Trees Classifiers
    Download  people.tuke.sk
    In this paper we present an improvement of the precision of classification algorithm results. Two various approaches are known: bagging and boosting. This paper describes a set of ...
    Kristína Machova, Miroslav Puszta, Frantise...
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    AAAI
    1996
    185views Intelligent Agents» more  AAAI 1996»
    Bagging, Boosting, and C4.5
    14 years 23 days ago
    Bagging, Boosting, and C4.5
    Download  www.cs.ecu.edu
    Breiman's bagging and Freund and Schapire's boosting are recent methods for improving the predictive power of classi er learning systems. Both form a set of classi ers t...
    J. Ross Quinlan
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