Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of thes

Artificial "neural networks" are widely used as flexible models for classification and regression applications, but questions remain about how the power of thes

A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.

In this first edition book, methods are discussed for doing inference in Bayesian networks and inference diagrams. Hundreds of examples and problems allow reade

Bayesian Nonparametrics via Neural Networks is the first book to focus on neural networks in the context of nonparametric regression and classification, working