130 search results - page 7 / 26 » Diversified SVM Ensembles for Large Data Sets |
164
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GECCO
2006
Springer
15 years 9 months ago
2006
Springer
A boosting algorithm based on cellular genetic programming to build an ensemble of predictors is proposed. The method evolves a population of trees for a fixed number of rounds an...
153
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KES
2005
Springer
15 years 11 months ago
2005
Springer
In KDD procedure, to fill in missing data typically requires a very large investment of time and energy - often 80% to 90% of a data analysis project is spent in making the data re...
137
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ICAISC
2004
Springer
15 years 11 months ago
2004
Springer
Abstract. The support vector machine (SVM) constitutes one of the most successful current learning algorithms with excellent classification accuracy in large real-life problems an...
157
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ICML
2004
IEEE
16 years 6 months ago
2004
IEEE
A new large margin classifier, named MaxiMin Margin Machine (M4 ) is proposed in this paper. This new classifier is constructed based on both a "local" and a "globa...
162
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KDD
2001
ACM
16 years 6 months ago
2001
ACM
In this paper, we propose a general framework for distributed boosting intended for efficient integrating specialized classifiers learned over very large and distributed homogeneo...