For many reasons, it is desirable to use robots in courses such as introductory computer science, artificial intelligence, and cognitive science, yet the knowledge normally require...
Christopher A. Welty, Kenneth Livingston, Calder M...
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...
This paper presents a novel and fast k-NN classifier that is based on a binary CMM (Correlation Matrix Memory) neural network. A robust encoding method is developed to meet CMM in...
The proposed implementation is a monitor system able to train operators for on-line real time manufacturing control in order to analyze the performance of a production process. Th...
Agostino G. Bruzzone, Pietro Giribone, Roberto Rev...
Recently we have begun to build the basic tools for a generic speech-dialog system. The main modules, their function and internal communication have been specified. The different ...