This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Recently, the mesh connected trees (MCT) network has been proposed as a possible architecture for parallel computers. MCT networks are obtained by combining complete binary trees ...
Advances in semiconductor technologies have placed MPSoCs center stage as a standard architecture for embedded applications of ever increasing complexity. Efficient utilization of...
Artificial neural networks are a key tool for researchers attempting to understand and replicate the behaviour and intelligence found in biological neural networks. Software simul...
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...