This paper describes the design and implementation of the University of Florida’s Anatomic Pathology Database System. The first phase of the system consists of the patient recor...
Changwoo Yoon, James K. Massey, William H. Donnell...
Bayesian KnowledgeBases (BKB)are a rule-based probabilistic modelthat extend BayesNetworks(BN), by allowing context-sensitive independenceand cycles in the directed graph. BKBshav...
System for automated control and tuning of TVset raster has been developed. The artificial intelligence elements such as multilayer perceptron, RBF and Cohonen networks effectivel...
Rauf Kh. Sadykhov, Alexey N. Klimovich, Oleg G. Ma...
Robot motion planning in a dynamic cluttered workspace requires the capability of dealing with obstacles and deadlock situations. The paper analyzes situations where the robot is ...
Abstract. There is currently a large interest in relational probabilistic models. While the concept of context-specific independence (CSI) has been well-studied for models such as ...