Model-based diagnosis is the field of research concerned with the problem of finding faults ms by reasoning with abstract models of the systems. Typically, such models offer a ...
This paper presents a unified probabilistic framework for denoising and dereverberation of speech signals. The framework transforms the denoising and dereverberation problems into...
Identity uncertainty is the task of deciding whether two descriptions correspond to the same object. In this paper we discuss the identity uncertainty problem in the context of the...
Abstract. The problems of optimizing the network structure by the reliability criteria is discussed. The networks with absolutely reliable nodes and unreliable edges are considered...
Olga K. Rodionova, Alexey S. Rodionov, Hyunseung C...
Abstract. Self-replicating structures in cellular automata have been extensively studied in the past as models of Artificial Life. However, CAs, unlike the biological cellular mod...