Theoretical neuroscience : computational and mathematical modeling of neural systems

Bayesian networks and decision graphs

Applications of neural networks in electromagnetics

A field guide to dynamical recurrent networks

Computational neural networks for geophysical data processing

Bioinformatics the machine learning approach

Graphical models foundations of neural computation

Recurrent neural networks for prediction learning algorithms, architectures, and stability

Kalman filtering and neural networks

Supervised and unsupervised pattern recognition : feature extraction and computational intelligence

Introduction to neural and cognitive modeling

Neural networks and genome informatics