410 search results - page 3 / 82 » Ensembles of biased classifiers |
IWANN
2005
Springer
15 years 6 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...
106
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ESANN
2006
15 years 2 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
16 years 1 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...
130
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CHI
2009
ACM
16 years 1 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 ...
128
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TEC
2008
15 years 18 days 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...