221 search results - page 36 / 45 » Optimization of bagging classifiers based on SBCB algorithm |
EUROCAST
2007
Springer
15 years 5 months ago
2007
Springer
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
104
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BMCBI
2006
14 years 11 months ago
2006
Background: Accurate methods for extraction of meaningful patterns in high dimensional data have become increasingly important with the recent generation of data types containing ...
121
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GECCO
2007
Springer
15 years 5 months ago
2007
Springer
This paper presents an analysis of microarray gene expression data from patients with and without scleroderma skin disease using computational intelligence and visual data mining ...
JUCS
2008
14 years 11 months ago
2008
: Feature selection methods are often applied in the context of document classification. They are particularly important for processing large data sets that may contain millions of...
98
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GECCO
2005
Springer
15 years 5 months ago
2005
Springer
This paper presents a novel approach of applying both positive selection and negative selection to supervised learning for anomaly detection. It first learns the patterns of the n...