A neural network model that can simulate the learning of some simple proportional analogies is presented. These analogies include, for example, (a) red-square:red-circle yellow-sq...
The usual methods of applying Bayesian networks to the modeling of temporal processes, such as Dean and Kanazawa's dynamic Bayesian networks (DBNs), consist in discretizing t...
The study presented in this paper is motivated by the performance analysis of response times in distributed information systems, where transactions are handled by iterative server...
Robert D. van der Mei, Bart Gijsen, N. in't Veld, ...
Multi-view learning algorithms typically assume a complete bipartite mapping between the different views in order to exchange information during the learning process. However, ma...
Abstract. Context-Bounded Analysis has emerged as a practical automatic formal analysis technique for fine-grained, shared-memory concurrent software. Two recent papers (in CAV 20...