In this paper we present a method of computing the posterior probability of conditional independence of two or more continuous variables from data, examined at several resolutions...
This paper studies on the mirror image learning algorithm for the autoassociative neural networks and evaluates the performance by handwritten numeral recognition test. Each of th...
The study described hereunder lies within the context of a larger project focusing on the design and implementation of a "Robotic Interaction Language". The research goa...
Omar Mubin, Suleman Shahid, Christoph Bartneck, Em...
Comprehension of science texts is challenging, particularly when the reader lacks the skills or knowledge necessary to fill in conceptual gaps in the text content. The iSTART syste...
Danielle S. McNamara, Chutima Boonthum, Christophe...
Abstract--Learning multiple related tasks from data simultaneously can improve predictive performance relative to learning these tasks independently. In this paper we propose a nov...
Jean Baptiste Faddoul, Boris Chidlovskii, Fabien T...