2898 search results - page 1 / 580 » Ensemble Methods in Machine Learning |
MCS
2000
Springer
13 years 8 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 5 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
13 years 8 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
13 years 7 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 5 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...