Obtaining a bayesian network from data is a learning process that is divided in two steps: structural learning and parametric learning. In this paper, we define an automatic learni...
This paper presents a multimodal learning system that can ground spoken names of objects in their physical referents and learn to recognize those objects simultaneously from natur...
Contrary to the apparent beliefs of many students, computer programming and problem solving are not amenable to purely book learning. These skills can be acquired only by practice...
This paper is concerned with storing XML data in a native repository suitable for querying with modern languages such as XPath or XQuery. It contains a description of the experimen...
To enable businesses to maximise value and achieve benefits from electronic commerce, it is imperative to identify, analyse and overcome challenges that lie ahead those engaging i...