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» Approximations and Rough Sets Based on Tolerances
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KBS
2008
98views more  KBS 2008»
13 years 6 months ago
Mixed feature selection based on granulation and approximation
Feature subset selection presents a common challenge for the applications where data with tens or hundreds of features are available. Existing feature selection algorithms are mai...
Qinghua Hu, Jinfu Liu, Daren Yu
ISCI
2002
106views more  ISCI 2002»
13 years 7 months ago
Neighborhood operator systems and approximations
This paper presents a framework for the study of generalizing the standard notion of equivalence relation in rough set approximation space with various categories of k-step neighb...
Wei-Zhi Wu, Wen-Xiu Zhang
RSEISP
2007
Springer
14 years 1 months ago
Checking Brain Expertise Using Rough Set Theory
Most information about the external world comes from our visual brain. However, it is not clear how this information is processed. We will analyze brain responses using machine lea...
Andrzej W. Przybyszewski
FUZZIEEE
2007
IEEE
14 years 1 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
RSCTC
2004
Springer
110views Fuzzy Logic» more  RSCTC 2004»
14 years 25 days ago
A Graded Applicability of Rules
We address the problem of rough applicability of rules within the framework of approximation spaces. The graded applicability of a rule for an object of an approximation space, int...
Anna Gomolinska