Information Theory, Inference, and Learning


Information Theory, Inference, and Learning Algorithms - David J.C. MacKay
An Introduction to Genetic Algorithms - Mitchell Melanie
THE ELEMENTS OF ARTIFICIAL INTELLIGENCE - Steven L. Tanimoto
Immunocomputing: principles and applications - Alexander 0. Tarakanov
Analysis And Applications Of Artificial Neural networks - L. P. J. Veelenturf
THE HANDBOOK OF DATA MINING - Nong Ye
Self- Organizing Maps - Teuvo Kohonen
Using Neural Networks in the Static Evaluation Function of a Computer Chess Program - Erik Robertsson
An Introduction To Kernel Based Learning Algorithms - K. Muller
Designing A neural Networks For Forecasting - Kaastra



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