121 search results - page 10 / 25 » Relevant and Redundant Feature Analysis with Ensemble Classi... |
BMCBI
2007
14 years 9 months ago
2007
Background: The search for enriched features has become widely used to characterize a set of genes or proteins. A key aspect of this technique is its ability to identify correlati...
ICMLA
2008
14 years 11 months ago
2008
We revisit 26 meta-features typically used in the context of meta-learning for model selection. Using visual analysis and computational complexity considerations, we find 4 meta-f...
COST
2009
Springer
15 years 2 months ago
2009
Springer
Empirical mode decomposition (EMD) is an algorithm for signal analysis recently introduced by Huang. It is a completely datadriven non-linear method for the decomposition of a sign...
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ICANN
2010
Springer
14 years 7 months ago
2010
Springer
Abstract. This paper presents an experimental "morphological analysis" retrieval system for mammograms, using Relevance-Feedback techniques. The features adopted are firs...
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ICML
2010
IEEE
14 years 10 months ago
2010
IEEE
Many learning applications are characterized by high dimensions. Usually not all of these dimensions are relevant and some are redundant. There are two main approaches to reduce d...