114 search results - page 3 / 23 » Ensemble selection from libraries of models |
ECML
2004
Springer
13 years 11 months ago
2004
Springer
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
MCS
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. This paper presents a probabilistic model for combining cluster ensembles utilizing information theoretic measures. Starting from a co-association matrix which summarizes...
PKDD
2004
Springer
13 years 11 months ago
2004
Springer
A crucial issue for Machine Learning and Data Mining is Feature Selection, selecting the relevant features in order to focus the learning search. A relaxed setting for Feature Sele...
ACL
2006
13 years 7 months ago
2006
We present a learning framework for structured support vector models in which boosting and bagging methods are used to construct ensemble models. We also propose a selection metho...
PPSN
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. Exploiting the diversity of hypotheses produced by evolutionary learning, a new ensemble approach for Feature Selection is presented, aggregating the feature rankings ext...