74 search results - page 4 / 15 » Ensembles of Multi-instance Learners |
KDD
2010
ACM
13 years 11 months ago
2010
ACM
An ensemble is a set of learned models that make decisions collectively. Although an ensemble is usually more accurate than a single learner, existing ensemble methods often tend ...
IJCAI
2003
13 years 8 months ago
2003
Ensemble methods like bagging and boosting that combine the decisions of multiple hypotheses are some of the strongest existing machine learning methods. The diversity of the memb...
KBS
2006
13 years 7 months ago
2006
Ensemble methods that train multiple learners and then combine their predictions have been shown to be very effective in supervised learning. This paper explores ensemble methods ...
IEEECIT
2007
IEEE
14 years 1 months ago
2007
IEEE
In machine learning, ensemble classifiers have been introduced for more accurate pattern classification than single classifiers. We propose a new ensemble learning method that emp...
AUSAI
2001
Springer
13 years 12 months ago
2001
Springer
Abstract. Wrappers have recently been used to obtain parameter optimizations for learning algorithms. In this paper we investigate the use of a wrapper for estimating the correct n...