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» Feature Selection via Maximizing Fuzzy Dependency
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FUZZIEEE
2007
IEEE
13 years 12 months ago
Tolerance-based and Fuzzy-Rough Feature Selection
— One of the main obstacles facing the application of computational intelligence technologies in pattern recognition (and indeed in many other tasks) is that of dataset dimension...
Richard Jensen, Qiang Shen
ICPR
2006
IEEE
14 years 6 months ago
Multi-Subset Selection for Keyword Extraction and Other Prototype Search Tasks Using Feature Selection Algorithms
We present a framework that enables the use of traditional feature selection algorithms in a new context - for building a set of subsets of specified properties. During the course...
Pavel Pudil, Petr Somol
TNN
2010
154views Management» more  TNN 2010»
13 years 9 days ago
Discriminative semi-supervised feature selection via manifold regularization
We consider the problem of semi-supervised feature selection, where we are given a small amount of labeled examples and a large amount of unlabeled examples. Since a small number ...
Zenglin Xu, Irwin King, Michael R. Lyu, Rong Jin
ICIP
2006
IEEE
14 years 7 months ago
Robust Object Detection using Fast Feature Selection from Huge Feature Sets
This paper describes an efficient feature selection method that quickly selects a small subset out of a given huge feature set; for building robust object detection systems. In th...
Duy-Dinh Le, Shin'ichi Satoh
NIPS
2003
13 years 7 months ago
Fast Feature Selection from Microarray Expression Data via Multiplicative Large Margin Algorithms
New feature selection algorithms for linear threshold functions are described which combine backward elimination with an adaptive regularization method. This makes them particular...
Claudio Gentile