The data mining inspired problem of finding the critical, and most useful features to be used to classify a data set, and construct rules to predict the class of future examples ...
Pablo Moscato, Luke Mathieson, Alexandre Mendes, R...
er provides new techniques for abstracting the state space of a Markov Decision Process (MDP). These techniques extend one of the recent minimization models, known as -reduction, ...
Abstract. We consider minimum equivalent digraph problem, its maximum optimization variant and some non-trivial extensions of these two types of problems motivated by biological an...
: The Borowsky-Gafni (BG) simulation algorithm is a powerful tool that allows a set of t + 1 asynchronous sequential processes to wait-free simulate (i.e., despite the crash of up ...
In many cases the surfaces of geometric models consist of a large number of triangles. Several algorithms were developed to reduce the number of triangles required to approximate ...
Reinhard Klein, Gunther Liebich, Wolfgang Stra&szl...