TY  - BOOK
AU  - Shawe-Taylor,John
AU  -  Cristianini,Nello
TI  - Kernel methods for pattern analysis
SN  - 9780511809682
U1  - 006.3 Sh288 2011 
PY  - 2011///
CY  - Cambridge
PB  - Cambridge University Press
KW  -  Machine learning
KW  -  Algorithms.
KW  - Kernel functions
KW  - Pattern perception
KW  - Data processing
KW  -  Electronic books
N1  - 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
Part IV. Appendices
Appendix A. Proof omitted from the main text
Appendix B. Notational conventions
Appendix C. List of pattern analysis methods
Appendix D. List of kernels
Bibliography
Index; 000-099
N2  - The kernel functions methodology described here provides a powerful and unified framework for disciplines ranging from neural networks and pattern recognition to machine learning and data mining. This book provides practitioners with a large toolkit of algorithms, kernels and solutions ready to be implemented, suitable for standard pattern discovery problems
UR  - https://www.cambridge.org/core/books/kernel-methods-for-pattern-analysis/811462F4D6CD6A536A05127319A8935A
ER  -