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» Ensemble Learning of Regional Classifiers
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PCM
2007
Springer
114views Multimedia» more  PCM 2007»
14 years 1 months ago
Random Convolution Ensembles
A novel method for creating diverse ensembles of image classifiers is proposed. The idea is that, for each base image classifier in the ensemble, a random image transformation is g...
Michael Mayo
ICML
2004
IEEE
14 years 8 months ago
A Monte Carlo analysis of ensemble classification
In this paper we extend previous results providing a theoretical analysis of a new Monte Carlo ensemble classifier. The framework allows us to characterize the conditions under wh...
Roberto Esposito, Lorenza Saitta
MCS
2000
Springer
13 years 11 months ago
Ensemble Methods in Machine Learning
Ensemble methods are learning algorithms that construct a set of classi ers and then classify new data points by taking a (weighted) vote of their predictions. The original ensembl...
Thomas G. Dietterich
ICML
2006
IEEE
14 years 8 months ago
Pruning in ordered bagging ensembles
We present a novel ensemble pruning method based on reordering the classifiers obtained from bagging and then selecting a subset for aggregation. Ordering the classifiers generate...
Alberto Suárez, Gonzalo Martínez-Mu&...