Kernel Methods for Pattern Analysis

Inbunden, Engelska, 2004

1 575 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

Kernel methods provide a powerful and unified framework for pattern discovery, motivating algorithms that can act on general types of data (e.g. strings, vectors or text) and look for general types of relations (e.g. rankings, classifications, regressions, clusters). The application areas range from neural networks and pattern recognition to machine learning and data mining. This book, developed from lectures and tutorials, fulfils two major roles: firstly it provides practitioners with a large toolkit of algorithms, kernels and solutions ready to use for standard pattern discovery problems in fields such as bioinformatics, text analysis, image analysis. Secondly it provides an easy introduction for students and researchers to the growing field of kernel-based pattern analysis, demonstrating with examples how to handcraft an algorithm or a kernel for a new specific application, and covering all the necessary conceptual and mathematical tools to do so.

Produktinformation

Utgivningsdatum:2004-06-28
Mått:180 x 255 x 25 mm
Vikt:1 134 g
Format:Inbunden
Språk:Engelska
Antal sidor:478
Förlag:Cambridge University Press
ISBN:9780521813976

Utforska kategorier

Affärsapplikationer inom Data och IT
Systemvetenskap och AI inom Data och IT

Mer om författaren

fm.author_biographical_note1 fm.author_biographical_note2

Recensioner i media

'Kernel methods form an important aspect of modern pattern analysis, and this book gives a lively and timely account of such methods. … if you want to get a good idea of the current research in this field, this book cannot be ignored.' SIAM Review

Innehållsförteckning

Preface; Part I. Basic Concepts: 1. Pattern analysis; 2. Kernel methods: an overview; 3. Properties of kernels; 4. Detecting stable patterns; Part II. Pattern Analysis Algorithms: 5. Elementary algorithms in feature space; 6. Pattern analysis using eigen-decompositions; 7. Pattern analysis using convex optimisation; 8. Ranking, clustering and data visualisation; Part III. Constructing Kernels: 9. Basic kernels and kernel types; 10. Kernels for text; 11. Kernels for structured data: strings, trees, etc.; 12. Kernels from generative models; Appendix A: proofs omitted from the main text; Appendix B: notational conventions; Appendix C: list of pattern analysis methods; Appendix D: list of kernels; References; Index.

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Kernel Methods for Pattern Analysis

AvJohn Shawe-Taylor,Nello Cristianini

Inbunden, Engelska, 2004

1 575 kr

Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

Beskrivning

Produktinformation

Utgivningsdatum:2004-06-28
Mått:180 x 255 x 25 mm
Vikt:1 134 g
Format:Inbunden
Språk:Engelska
Antal sidor:478
Förlag:Cambridge University Press
ISBN:9780521813976

Utforska kategorier

Affärsapplikationer inom Data och IT
Systemvetenskap och AI inom Data och IT

Mer om författaren

fm.author_biographical_note1 fm.author_biographical_note2

Recensioner i media

Innehållsförteckning

Preface; Part I. Basic Concepts: 1. Pattern analysis; 2. Kernel methods: an overview; 3. Properties of kernels; 4. Detecting stable patterns; Part II. Pattern Analysis Algorithms: 5. Elementary algorithms in feature space; 6. Pattern analysis using eigen-decompositions; 7. Pattern analysis using convex optimisation; 8. Ranking, clustering and data visualisation; Part III. Constructing Kernels: 9. Basic kernels and kernel types; 10. Kernels for text; 11. Kernels for structured data: strings, trees, etc.; 12. Kernels from generative models; Appendix A: proofs omitted from the main text; Appendix B: notational conventions; Appendix C: list of pattern analysis methods; Appendix D: list of kernels; References; Index.