410 search results - page 12 / 82 » Ensembles of biased classifiers |
CVPR
2007
IEEE
15 years 3 months ago
2007
IEEE
In this paper, we present a method of object classification within the context of Visual Surveillance. Our goal is the classification of tracked objects into one of the two classe...
PAKDD
2010
ACM
15 years 3 months ago
2010
ACM
Abstract. It is well known that diversity among component classifiers is crucial for constructing a strong ensemble. Most existing ensemble methods achieve this goal through resam...
ESANN
2006
15 years 14 days ago
2006
This paper presents a new method for constructing ensembles of classifiers based on immune network theory, one of the most interesting paradigms within the field of artificial imm...
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IJCSA
2008
14 years 11 months ago
2008
In this paper, we present classifiers ensemble approaches for biomedical named entity recognition. Generalized Winnow, Conditional Random Fields, Support Vector Machine, and Maxim...
IJCAI
2003
15 years 13 days 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...