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RSKT
2007
Springer
15 years 3 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
STOC
2000
ACM
55views Algorithms» more  STOC 2000»
15 years 2 months ago
Self-testing of universal and fault-tolerant sets of quantum gates
We consider the design of self-testers for quantum gates. A self-tester for the gates F 1, . . . , F m is a procedure that, given any gates G1, . . . , Gm, decides with high probab...
Wim van Dam, Frédéric Magniez, Miche...
KDD
1995
ACM
135views Data Mining» more  KDD 1995»
15 years 1 months ago
Rough Sets Similarity-Based Learning from Databases
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
Xiaohua Hu, Nick Cercone
ISIPTA
1999
IEEE
15 years 2 months ago
Nonlinear Filtering of Convex Sets of Probability Distributions
A solution is provided to the problem of computing a convex set of conditional probability distributions that characterize the state of a nonlinear dynamic system as it evolves in...
John Kenney, Wynn C. Stirling
ECAI
2006
Springer
15 years 1 months ago
Approximating Extended Answer Sets
Abstract. We present an approximation theory for the extended answer set semantics, using the concept of an approximation constraint. Intuitively, an approximation constraint, whil...
Davy Van Nieuwenborgh, Stijn Heymans, Dirk Vermeir