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RSKT
2007
Springer
14 years 1 months ago
Decision-Theoretic Rough Set Models
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...
Yiyu Yao
ECSQARU
2003
Springer
14 years 25 days ago
A Representation Theorem and Applications
We introduce a set of transformations on the set of all probability distributions over a finite state space, and show that these transformations are the only ones that preserve c...
Manfred Jaeger
JSW
2010
83views more  JSW 2010»
13 years 6 months ago
Estimating Model Parameters of Conditioned Soils by using Artificial Network
—The parameter identification of nonlinear constitutive model of soil mass is based on an inverse analysis procedure, which consists of minimizing the objective function represen...
Zichang Shangguan, Shouju Li, Wei Sun, Maotian Lua...
CDC
2008
IEEE
101views Control Systems» more  CDC 2008»
13 years 9 months ago
Variance analysis for identification of cascade systems
The objective of this contribution is to analyze statistical properties of estimated models of cascade systems. Models of such systems are important in for example cascade control ...
Bo Wahlberg, Håkan Hjalmarsson, Jonas M&arin...
AI
2008
Springer
13 years 7 months ago
Expressive probabilistic description logics
The work in this paper is directed towards sophisticated formalisms for reasoning under probabilistic uncertainty in ontologies in the Semantic Web. Ontologies play a central role...
Thomas Lukasiewicz