Sciweavers

SDM
2008
SIAM
177views Data Mining» more  SDM 2008»
14 years 27 days ago
Cluster Ensemble Selection
This paper studies the ensemble selection problem for unsupervised learning. Given a large library of different clustering solutions, our goal is to select a subset of solutions t...
Xiaoli Z. Fern, Wei Lin
ECAI
2008
Springer
14 years 1 months ago
Focused Ensemble Selection: A Diversity-Based Method for Greedy Ensemble Selection
Abstract. Ensemble selection deals with the reduction of an ensemble of predictive models in order to improve its efficiency and predictive performance. A number of ensemble select...
Ioannis Partalas, Grigorios Tsoumakas, Ioannis P. ...
GECCO
2006
Springer
171views Optimization» more  GECCO 2006»
14 years 3 months ago
Evolving ensemble of classifiers in random subspace
Various methods for ensemble selection and classifier combination have been designed to optimize the results of ensembles of classifiers. Genetic algorithm (GA) which uses the div...
Albert Hung-Ren Ko, Robert Sabourin, Alceu de Souz...
ICDM
2006
IEEE
129views Data Mining» more  ICDM 2006»
14 years 5 months ago
Getting the Most Out of Ensemble Selection
We investigate four previously unexplored aspects of ensemble selection, a procedure for building ensembles of classifiers. First we test whether adjusting model predictions to p...
Rich Caruana, Art Munson, Alexandru Niculescu-Mizi...
ICML
2004
IEEE
15 years 8 days ago
Ensemble selection from libraries of models
We present a method for constructing ensembles from libraries of thousands of models. Model libraries are generated using different learning algorithms and parameter settings. For...
Rich Caruana, Alexandru Niculescu-Mizil, Geoff Cre...