— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Many activity dependent learning rules have been proposed in order to model long-term potentiation (LTP). Our aim is to derive a spike time dependent learning rule from a probabili...
Jean-Pascal Pfister, David Barber, Wulfram Gerstne...
Pervasive computing requires infrastructures that adapt to changes in user behaviour while minimising user interactions. Policy-based approaches have been proposed as a means of pr...
Domenico Corapi, Oliver Ray, Alessandra Russo, Aro...
Abstract Relational rule learning algorithms are typically designed to construct classification and prediction rules. However, relational rule learning can be adapted also to subgr...
This paper describes an approach to automatically obtain an HTN planning domain from a well structured learning objects repository and also to apply an HTN planner to obtain IMS Le...
Luis A. Castillo, Lluvia Morales, Arturo Gonz&aacu...