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» Indeterminacy and Rough Approximation
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RSKT
2010
Springer
13 years 7 months ago
Naive Bayesian Rough Sets
A naive Bayesian classifier is a probabilistic classifier based on Bayesian decision theory with naive independence assumptions, which is often used for ranking or constructing a...
Yiyu Yao, Bing Zhou
RSKT
2009
Springer
14 years 3 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
IJAR
2006
197views more  IJAR 2006»
13 years 8 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
VR
2000
IEEE
125views Virtual Reality» more  VR 2000»
14 years 29 days ago
Immersive Planar Display using Roughly Aligned Projectors
When a projector is oblique with respect to a planar displaysurface, it creates keystoning and the projected imageis distorted. We present a rendering technique to display perspec...
Ramesh Raskar
JACIII
2006
114views more  JACIII 2006»
13 years 8 months ago
A Theoretical Formulation of Object-Oriented Rough Set Models
ata forms, and abstract structural hierarchy based on is-a relationship and has-a relationship. Object structures illustrate many kinds of objects and actual dependence among objec...
Yasuo Kudo, Tetsuya Murai