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Meta-Algorithmics: Patterns for Robust, Low Cost, High Quality Systems (英语) 精装 – 2013年7月29日

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基本信息

  • 出版社: Wiley-IEEE Press; 1 (2013年7月29日)
  • 丛书名: Wiley - IEEE
  • 精装: 386页
  • 语种: 英语
  • ISBN: 1118343360
  • 条形码: 9781118343364
  • 商品尺寸: 18 x 2.4 x 25.3 cm
  • 商品重量: 739 g
  • ASIN: 1118343360
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商品描述

作者简介

Steven J. Simske, Hewlett-Packard Labs, Colorado, USA
Dr Simske is currently Director of the Document Ecosystem Lab,at Hewlett-Packard Labs, Colorado, USA. He has been working inalgorithms, imaging, machine learning and classification for thepast 20 years. As an engineer at HP Labs, he has designed,developed and shipped products associated with a very broad arrayof domains—document understanding, image segmentation andunderstanding, speech recognition, medical signal processing andimaging, biometrics, natural language processing, surveillance,optical character recognition, security analytics and securityprinting. The advantages of systematic meta-algorithmic approachesto the robustness, accuracy, cost and/or other system featureswhich is the focus of the book has been evident across thesedomains. Dr. Simske is an HP Fellow, IS&T Fellow and IEEESenior Member. He has published 300 articles and book chapters; andholds 45 US Patents primarily in the areas of classification,machine learning, and large system design and development.

目录

1 Introduction and Overview 1

1.1 Introduction 1

1.2 Why Is This Book Important? 2

1.3 Organization of the Book 3

1.4 Informatics 4

1.5 Ensemble Learning 6

1.6 Machine Learning/Intelligence 7

1.7 Artificial Intelligence 22

1.8 Data Mining/Knowledge Discovery 31

1.9 Classification 32

1.10 Recognition 38

1.11 System-Based Analysis 39

1.12 Summary 39

References 40

2 Parallel Forms of Parallelism 42

2.1 Introduction 42

2.2 Parallelism by Task 43

2.3 Parallelism by Component 52

2.4 Parallelism by Meta-algorithm 64

2.5 Summary 71

References 72

3 Domain Areas: Where Is This Relevant? 73

3.1 Introduction 73

3.2 Overview of the Domains 74

3.3 Primary Domains 75

3.4 Secondary Domains 86

3.5 Summary 101

References 102

4 Applications of Parallelism by Task 104

4.1 Introduction 104

4.2 Primary Domains 105

4.3 Summary 135

References 136

5 Application of Parallelism by Component 137

5.1 Introduction 137

5.2 Primary Domains 138

5.3 Summary 172

References 173

6 Introduction to Meta-algorithmics 175

6.1 Introduction 175

6.2 First-Order Meta-algorithmics 178

6.3 Second-Order Meta-algorithmics 195

6.4 Third-Order Meta-algorithmics 218

6.5 Summary 240

References 240

7 First-Order Meta-algorithmics and Their Applications 241

7.1 Introduction 241

7.2 First-Order Meta-algorithmics and the “Black Box”241

7.3 Primary Domains 242

7.4 Secondary Domains 257

7.5 Summary 271

References 271

8 Second-Order Meta-algorithmics and Their Applications272

8.1 Introduction 272

8.2 Second-Order Meta-algorithmics and Targeting the“Fringes” 273

8.3 Primary Domains 279

8.4 Secondary Domains 304

8.5 Summary 308

References 308

9 Third-Order Meta-algorithmics and Their Applications 310

9.1 Introduction 310

9.2 Third-Order Meta-algorithmic Patterns 311

9.3 Primary Domains 313

9.4 Secondary Domains 328

9.5 Summary 340

References 341

10 Building More Robust Systems 342

10.1 Introduction 342

10.2 Summarization 342

10.3 Cloud Systems 350

10.4 Mobile Systems 353

10.5 Scheduling 355

10.6 Classification 356

10.7 Summary 358

Reference 359

11 The Future 360

11.1 Recapitulation 360

11.2 The Pattern of all Patience 362

11.3 Beyond the Pale 365

11.4 Coming Soon 367

11.5 Summary 368

References 368

Index


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