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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
VIS
2004
IEEE
143views Visualization» more  VIS 2004»
14 years 8 months ago
Rough Interface Reconstruction Using the Level Set Method
We present a new level set method for reconstructing interfaces from point aggregations. Although level-set-based methods are advantageous because they can handle complicated topo...
David Thompson, Raghu Machiraju, Yootai Kim
IWANN
2011
Springer
12 years 10 months ago
A Preliminary Study on the Use of Fuzzy Rough Set Based Feature Selection for Improving Evolutionary Instance Selection Algorith
In recent years, the increasing interest in fuzzy rough set theory has allowed the definition of novel accurate methods for feature selection. Although their stand-alone applicati...
Joaquín Derrac, Chris Cornelis, Salvador Ga...
ICCBR
2001
Springer
14 years 16 hour ago
A Fuzzy-Rough Approach for Case Base Maintenance
Abstract. This paper proposes a fuzzy-rough method of maintaining CaseBased Reasoning (CBR) systems. The methodology is mainly based on the idea that a large case library can be tr...
Guoqing Cao, Simon C. K. Shiu, Xizhao Wang
GRC
2005
IEEE
14 years 1 months ago
Discovering and ranking important rules
— Decision rules generated from reducts can fully describe a data set. We introduce a new method of evaluating rules by taking advantage of rough sets theory. We consider rules g...
Jiye Li, Nick Cercone