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Book Categories |
Preface | ||
1 | Introduction | 1 |
2 | Statistical Decision Theory | 19 |
3 | Need for Approximations: Fundamental Approaches | 31 |
4 | Classification Based on Statistical Models Determined by First- and Second-Order Statistical Moments | 44 |
5 | Classification Based on Mean-Square Functional Approximations | 97 |
6 | Polynomial Regression | 102 |
7 | Multilayer Perceptron Regression | 187 |
8 | Radial Basis Functions | 231 |
9 | Measurements, Features, and Feature Selection | 253 |
10 | Reject Criteria and Classifier Performance | 289 |
11 | Combining Classifiers | 330 |
12 | Conclusion | 357 |
13 | STATMOD Program: Description of ftp Package | 360 |
References | 364 | |
Index | 369 |
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Add Pattern Classification: A Unified View of Statistical and Neural Approaches, PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistica, Pattern Classification: A Unified View of Statistical and Neural Approaches to the inventory that you are selling on WonderClubX
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Add Pattern Classification: A Unified View of Statistical and Neural Approaches, PATTERN CLASSIFICATION a unified view of statistical and neural approaches The product of years of research and practical experience in pattern classification, this book offers a theory-based engineering perspective on neural networks and statistica, Pattern Classification: A Unified View of Statistical and Neural Approaches to your collection on WonderClub |