The effort and time required to develop user interface models has been one of the main limitations to the adoption of model-based approaches, which enable intelligent processing o...
Federico Bellucci, Giuseppe Ghiani, Fabio Patern&o...
Abstract. An optimal probabilistic-planning algorithm solves a problem, usually modeled by a Markov decision process, by finding its optimal policy. In this paper, we study the k ...
Abstract— The heterogeneity in the current and future multimedia environment requires an elegant adaptation framework for the production and consumption of different kinds of mul...
Davy De Schrijver, Wesley De Neve, Koen De Wolf, S...
Developers of distributed systems routinely construct discrete-event simulations to help understand and evaluate the behavior of inter-component protocols. Simulations are abstrac...
Matthew J. Rutherford, Antonio Carzaniga, Alexande...
Abstract. We advocate to analyze the average complexity of learning problems. An appropriate framework for this purpose is introduced. Based on it we consider the problem of learni...