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NC
1998
102views Neural Networks» more  NC 1998»
15 years 8 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
AMC
2007
91views more  AMC 2007»
15 years 6 months ago
Deterministic and random synthesis of discrete chaos
In this paper, two anticontrol algorithms for synthesis of discrete chaos are introduced. In these algorithms, the control parameter of a discrete dynamical system is switched, ei...
Miguel Romera, Michael Small, Marius-F. Danca
DEDS
2008
127views more  DEDS 2008»
15 years 6 months ago
Diagnosability Analysis of a Class of Hierarchical State Machines
This paper addresses the problem of Fault Detection and Isolation for a particular class of discrete event dynamical systems called Hierarchical Finite State Machines (HFSMs). A ne...
Andrea Paoli, Stéphane Lafortune
ENTCS
2006
134views more  ENTCS 2006»
15 years 6 months ago
Computing Over-Approximations with Bounded Model Checking
Bounded Model Checking (BMC) searches for counterexamples to a property with a bounded length k. If no such counterexample is found, k is increased. This process terminates when ...
Daniel Kroening
EOR
2007
111views more  EOR 2007»
15 years 6 months ago
Linear programming based algorithms for preemptive and non-preemptive RCPSP
: In this paper, the RCPSP (Resource Constrained Project Scheduling Problem) is solved using a linear programming model. Each activity may or may not be preemptive. Each variable i...
Jean Damay, Alain Quilliot, Eric Sanlaville