PATTERN CLASSIFICATION – 2/ED

Descrição

The first edition, published in 1973, has become a classic reference in the field. Now with the second edition, readers will find information on key new topics such as neural networks and statistical pattern recognition, the theory of machine learning, and the theory of invariances. Also included are worked examples, comparisons between different methods, extensive graphics, expanded exercises and computer project topics. CONTENTS.: 1 INTRODUCTION 2 BAYESIAN DECISION THEORY 3 MAXIMUM-LIKELIHOOD AND BAYESIAN PARAMETER ESTIMATIVE  4 NONPARAMETRIC TECHNIQUES  5 LINEAR DISCRIMINANT FUNCTIONS 6 MULTILAYER NEURAL NETWORKS 7 STOCHASTIC METHODS 8 NONMETRIC METHODS 9 ALGORITHM-INDEPENDENT MACHINE LEARNING 10 UNSUPERVISED LEARNING AND CLUSTERING

1. Summary
2. Bibliographical and Historical Remarks
3. Problems
4. Computer exercises
5. Bibliography
6. A MATHEMATICAL FOUNDATIONS
7. por Richard O. Duda (Autor) – 2001 
8. Capa dura ‏ : ‎ 680 paginas
9. ISBN-10 ‏ : ‎ 0471056693
10. ISBN-13 ‏ : ‎ 9780471056690
11. Obs.: Livro sem uso, com paginas amareladas e um pouco sujas pelo tempo – capa, contracapa, bordas e paginas integras. sem marcas, grifos, marcações ou qualquer tipo de detalhe que possa interferir na leitura ou pesquisa – Conteudo perfeito