697 search results - page 11 / 140 » Approximation of Information Granule Sets |
TEC
2010
14 years 4 months ago
2010
Abstract--Assuming that evolutionary multiobjective optimization (EMO) mainly deals with set problems, one can identify three core questions in this area of research: (i) how to fo...
125
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RSKT
2007
Springer
15 years 3 months ago
2007
Springer
Abstract. Decision-theoretic rough set models are a probabilistic extension of the algebraic rough set model. The required parameters for defining probabilistic lower and upper ap...
MOC
1998
14 years 9 months ago
1998
A general method for near-best approximations to functionals on Rd, using scattered-data information is discussed. The method is actually the moving least-squares method, presented...
RSCTC
2004
Springer
15 years 2 months ago
2004
Springer
We study properties of infomorphisms between information systems. In particular, we interpret infomorphisms between information systems in terms of sums with constraints (constrain...
112
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RSKT
2010
Springer
14 years 8 months ago
2010
Springer
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...