This paper describes a novel application of Statistical Learning Theory (SLT) to control model complexity in flow estimation. SLT provides analytical generalization bounds suitabl...
Zoran Duric, Fayin Li, Harry Wechsler, Vladimir Ch...
d abstract) Sam Staton Computer Laboratory, University of Cambridge Abstract. A labelled transition system can be understood as a coalgebra for a particular endofunctor on the cate...
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...
Abstract. We establish a generic theoretical tool to construct probabilistic bounds for algorithms where the output is a subset of objects from an initial pool of candidates (or mo...
This short paper qualitatively introduces the definition of the concepts of Deadlock and Livelock for a general class of Hybrid Control Systems (HCS). Such a characterization hing...