In this paper we examine a novel addition to the known methods for learning Bayesian networks from data that improves the quality of the learned networks. Our approach explicitly ...
This paper describes a new model for constructing distributed systems called the Remote Memory Model. The remote memory model consists of several client machines, one or more dedi...
Abstract. In image-based robot navigation, the robot localises itself by comparing images taken at its current position with a set of reference images stored in its memory. The pro...
A. Gasperin, Carmelo Ardito, Enrico Grisan, Emanue...
Previous research has investigated how people either navigate the web as a whole, or find information on websites of which they have little previous knowledge. However, it is now ...
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...