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Exam (elaborations) TEST BANK FOR Pattern Classification 2nd Edition By David G. Stork (Solution Manual) $15.39   Add to cart
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Exam (elaborations) TEST BANK FOR Pattern Classification 2nd Edition By David G. Stork (Solution Manual)

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Exam (elaborations) TEST BANK FOR Pattern Classification 2nd Edition By David G. Stork (Solution Manual) Solution Manual to accompany Pattern Classification (2nd ed.) by R. O. Duda, P. E. Hart and D. G. Stork David G. Stork Copyright 2001. All rights reserved. This Manual is for the sole use...

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  • November 13, 2021
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Solution Manual to accompany
Pattern Classification (2nd ed.)
by R. O. Duda, P. E. Hart and D. G. Stork
David G. Stork
Copyright 2001. All rights reserved.
This Manual is for the sole use of designated educators
and must not be distributed to students
except in short, isolated portions and in conjunction
with the use of Pattern Classification (2nd ed.)
June 18, 2003 Contents
Preface
1 Introduction 52 Bayesian decision theory 7
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 74
3 Maximum likelihood and Bayesian parameter estimation 77
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 77Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 130
4 Nonparametric techniques 131
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 131
Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 174
5 Linear discriminant functions 177
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 177Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 217
6 Multilayer neural networks 219
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 219Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 254
7 Stochastic methods 255
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 255Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 276
8 Nonmetric methods 277
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 277Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 294
9 Algorithm-independent machine learning 295
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 295Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 304
10 Unsupervised learning and clustering 305
Problem Solutions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 305Computer Exercises . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355
Sample final exams and solutions 357
3 4 CONTENTS
Worked examples 415
Errata and ammendations in the text 417
First and second printings . . . . . . . . . . . . . . . . . . . . . . . . . . . . 417Fifth printing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 443

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