1012 search results - page 13 / 203 » A Learning Classifier Approach to Tomography |
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
We empirically evaluate several state-of-theart methods for constructing ensembles of heterogeneous classifiers with stacking and show that they perform (at best) comparably to se...
ESANN
2004
13 years 9 months ago
2004
Ensemble algorithms can improve the performance of a given learning algorithm through the combination of multiple base classifiers into an ensemble. In this paper, the idea of usin...
MCS
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. We describe an ensemble of classifiers based algorithm for incremental learning in nonstationary environments. In this formulation, we assume that the learner is presente...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
In this paper, we present a new method to design customizable self-evolving fuzzy rule-based classifiers. The presented approach combines an incremental clustering algorithm with a...