This e-book is devoted to global optimization algorithms, which are methods to find opti- mal solutions for given problems. It especially focuses on Evolutionary Computation by dis- cussing evolutionary algorithms, genetic algorithms, Genetic Progra
This book is aimed at senior undergraduates and graduate students in Engi- neering, Science, Mathematics, and Computing. It expects familiarity with calculus, probability theory, and linear algebra as taught in a rst- or second- year undergraduate c
This book will serve as a foundation for a variety of useful applications of graph theory to computer vision, pattern recognition, and related areas. It covers a representative set of novel graph-theoretic methods for complex computer vision and pat
David Mackay 教授关于机器学习，数据挖掘，信息论，贝叶斯方法，算法的书籍。Information Theory, Inference, and Learning Algorithms。在他个人的主页上也有该书的免费下载。http://www.inference.phy.cam.ac.uk/mackay/
A unified presentation of parameter estimation for those involved in the design and implementation of statistical signal processing algorithms. Covers important approaches to obtaining an optimal estimator and analyzing its performance; and includes
