Abstract. Most of the work in Machine Learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
Comprehensive exploration of the design space parameters at the system-level is a crucial task to evaluate architectural tradeoffs accounting for both energy and performance const...
William Fornaciari, Donatella Sciuto, Cristina Sil...
Both the logic and the stochastic analysis of discrete-state systems are hindered by the combinatorial growth of the state space underlying a high-level model. In this work, we con...
Realtime musical expression through synthesis is notoriously dicult. The complete potential of a sound engine is traditionally available only at design time. In this paper two mapp...
This paper explores the complications encountered when attempting to create a secure pervasive computing environment. The model introduced in this paper is primarily conceptual. T...