410 search results - page 3 / 82 » Ensembles of biased classifiers |
IWANN
2005
Springer
13 years 11 months ago
2005
Springer
Abstract. In Machine Learning, ensembles are combination of classifiers. Their objective is to improve the accuracy. In previous works, we have presented a method for the generati...
ESANN
2006
13 years 7 months ago
2006
Abstract. Ensemble methods allow to improve the accuracy of classification methods. This work considers the application of one of these methods, named Rotation-based, when the clas...
ICML
2004
IEEE
14 years 6 months ago
2004
IEEE
In this paper we extend previous results providing a theoretical analysis of a new Monte Carlo ensemble classifier. The framework allows us to characterize the conditions under wh...
CHI
2009
ACM
14 years 6 months ago
2009
ACM
Machine learning is an increasingly used computational tool within human-computer interaction research. While most researchers currently utilize an iterative approach to refining ...
TEC
2008
13 years 5 months ago
2008
In general, the analysis of microarray data requires two steps: feature selection and classification. From a variety of feature selection methods and classifiers, it is difficult t...