410 search results - page 31 / 82 » Ensembles of biased classifiers |
103
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CEC
2010
IEEE
15 years 7 days ago
2010
IEEE
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
ECML
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Ensemble methods are popular learning methods that usually increase the predictive accuracy of a classifier though at the cost of interpretability and insight in the deci...
ICDM
2009
IEEE
14 years 9 months ago
2009
IEEE
In this paper we study the problem of classifier learning where the input data contains unjustified dependencies between some data attributes and the class label. Such cases arise...
143
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LATA
2011
Springer
14 years 2 months ago
2011
Springer
Abstract. Building on the celebrated Krohn-Rhodes Theorem we characterize classes of regular languages in terms of the cascade decompositions of minimal DFA of languages in those c...
ISMIS
2005
Springer
15 years 4 months ago
2005
Springer
Recently, there are many researchers to design Bayesian network structures using evolutionary algorithms but most of them use the only one fittest solution in the last generation. ...