2898 search results - page 1 / 580 » Ensemble Methods in Machine Learning |
MCS
2000
Springer
14 years 2 months ago
2000
Springer
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...
ICML
2004
IEEE
14 years 11 months ago
2004
IEEE
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...
ECML
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. Ensemble methods are able to improve the predictive performance of many base classifiers. Up till now, they have been applied to classifiers that predict a single target ...
FLAIRS
2007
14 years 1 months ago
2007
In this paper, we present a machine learning based approach for estimating antecedents of anaphorically used personal pronouns in Turkish sentences using a decision tree classific...
ICML
2003
IEEE
14 years 11 months ago
2003
IEEE
We analyze the formal grounding behind Negative Correlation (NC) Learning, an ensemble learning technique developed in the evolutionary computation literature. We show that by rem...