123 search results - page 14 / 25 » Multi-information Ensemble Diversity |
ESANN
2006
13 years 9 months ago
2006
Abstract. The EENCL algorithm [1] automatically designs neural network ensembles for classification, combining global evolution with local search based on gradient descent. Two mec...
IJON
2008
13 years 8 months ago
2008
Recently, many researchers have designed neural network architectures with evolutionary algorithms but most of them have used only the fittest solution of the last generation. To ...
PAKDD
2010
ACM
13 years 10 months ago
2010
ACM
Abstract. One of the more challenging problems faced by the data mining community is that of imbalanced datasets. In imbalanced datasets one class (sometimes severely) outnumbers t...
MCS
2007
Springer
13 years 8 months ago
2007
Springer
Abstract. Ensembles are often capable of greater predictive performance than any of their individual classifiers. Despite the need for classifiers to make different kinds of err...
ADBIS
2003
Springer
14 years 1 months ago
2003
Springer
Recent research has shown the integration of multiple classifiers to be one of the most important directions in machine learning and data mining. It was shown that, for an ensemble...