A model-free, case-based learning and control algorithm called S-learning is described as implemented in a simulation of a light-seeking mobile robot. S-learning demonstrated learn...
Learning the various structures and levels of memory hierarchy by means of conventional procedures is a complex subject. A memory hierarchy environment (Web-MHE) was proposed and ...
We propose a general framework for learning from labeled and unlabeled data on a directed graph in which the structure of the graph including the directionality of the edges is co...
Abstract. Expressing generality, recognising and analysing patterns and articulating structure is a complex task and one that is invariably problematic for students. Nonetheless, v...
Darren Pearce, Manolis Mavrikis, Eirini Geraniou, ...
In recent years, there has been a growing interest in applying Bayesian networks and their extensions to reconstruct regulatory networks from gene expression data. Since the gene ...