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A comprehensive introduction to Support Vector Machines and related kernel methods. In the 1990s, a new type of learning algorithm was developed, based on results from statistical learning theory: the Support Vector Mach...

Ensembles of artificial neural networks (ANN) have been used in the last years as classification/regression machines, showing improved generalization capabilities that outperform those of single networks. However, it has...

Subjects / keywords: Python (Computer program language); Data structures (Computer science); Computer algorithms

Function estimation/approximation is viewed from the perspective of numerical optimization in function space, rather than parameter space. A connection is made between stagewise additive expansions and steepest-descent m...

El gran volumen de información disponible en formato electrónico supera ampliamente la capacidad de los usuarios, en lo que se refiere a procesamiento y acceso de información relevante. La rama de los agentes intelig...