A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
Pedro A. Castillo Valdivieso, Juan J. Merelo Guerv...
An adaptive, highly scalable, and robust web caching system is needed to effectively handle the exponential growth and extreme dynamic environment of the World Wide Web. Our work ...
B. Scott Michel, Khoi Nguyen, Adam Rosenstein, Lix...
Abstract. Temporal Constraint Satisfaction is an information technology useful for representing and answering queries about the times of events and the temporal relations between t...
A Data Warehouse DW is a database that collects and stores data from multiple remote and heterogeneous information sources. When a query is posed, it is evaluated locally, without...
We recall the basic idea of an algebraic approach to learning Bayesian network (BN) structures, namely to represent every BN structure by a certain (uniquely determined) vector, c...