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...
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...
Manydata mining algorithms developed recently are based on inductive learning methods. Very few are based on similarity-based learning. However, similarity-based learning accrues ...
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...
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