Sciweavers

301 search results - page 10 / 61
» Probabilistic rough set approximations
Sort
View
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
GRC
2007
IEEE
14 years 1 months ago
MGRS in Incomplete Information Systems
The original rough set model is concerned primarily with the approximation of sets described by single binary relation on the universe. In the view of granular computing, classica...
Yuhua Qian, Jiye Liang, Chuangyin Dang
COLOGNETWENTE
2010
13 years 6 months ago
Approximating Independent Set in Semi-Random Graphs
We present an algorithm for the independent set problem on semi-random graphs, which are generated as follows: An adversary chooses an n-vertex graph, and then each edge is flipp...
Bodo Manthey, Kai Plociennik
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
EUSFLAT
2009
120views Fuzzy Logic» more  EUSFLAT 2009»
13 years 5 months ago
On M-Approximative Operators and M-Approximative Systems
Abstract-- The concept of an M-approximative system is introduced. Basic properties of the category of M-approximative systems and in a natural way defined morphisms between them a...
Alexander P. Sostak