46 search results - page 6 / 10 » Attribute reduction in decision-theoretic rough set models |
ESWA
2008
14 years 8 months ago
2008
K nearest neighbor classifier (K-NN) is widely discussed and applied in pattern recognition and machine learning, however, as a similar lazy classifier using local information for...
80
Voted
GRC
2005
IEEE
15 years 3 months ago
2005
IEEE
— 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...
TRS
2008
14 years 9 months ago
2008
An implicit assumption of many machine learning algorithms is that all attributes are of the same importance. An algorithm typically selects attributes based solely on their statis...
TRS
2008
14 years 9 months ago
2008
In this paper, we discuss an approach to structural objects based on a generalisation of indiscernibility relation used in rough set theory. The existing results in rough set theor...
82
Voted
RSCTC
2000
Springer
15 years 1 months ago
2000
Springer
The optimization of rough set based classification models with respect to parameterized balance between a model's complexity and confidence is discussed. For this purpose, the...