Kernel methods for pattern analysis / / John Shawe-Taylor, Nello Cristianini [[electronic resource]] |
Autore | Shawe-Taylor John |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2004 |
Descrizione fisica | 1 online resource (xiv, 462 pages) : digital, PDF file(s) |
Disciplina | 006.3/1 |
Soggetto topico |
Machine learning
Algorithms Kernel functions Pattern perception - Data processing |
ISBN |
1-107-14456-6
1-139-63694-4 1-280-51598-8 9786610515981 0-511-21418-9 0-511-21597-5 0-511-21060-4 0-511-31495-7 0-511-80968-9 0-511-21237-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Half-title; Title; Copyright; Contents; Code fragments; Preface; 1 Pattern analysis; 2 Kernel methods: an overview; 3 Properties of kernels; 4 Detecting stable patterns; 5 Elementary algorithms in feature space; 6 Pattern analysis using eigen-decompositions; 7 Pattern analysis using convex optimisation; 8 Ranking, clustering and data visualisation; 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; A.1 Proof of McDiarmid's theorem
A.2 Stability of principal components analysisA.3 Proofs of diffusion kernels; Appendix B Notational conventions; B.1 List of symbols; B.2 Notation for Tables; Appendix C List of pattern analysis methods; C.1 Pattern analysis computations; C.2 Pattern analysis algorithms; Appendix D List of kernels; D.1 Kernel definitions and computations; D.2 Kernel algorithms; References; Index |
Record Nr. | UNINA-9910457168903321 |
Shawe-Taylor John
![]() |
||
Cambridge : , : Cambridge University Press, , 2004 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Kernel methods for pattern analysis / / John Shawe-Taylor, Nello Cristianini [[electronic resource]] |
Autore | Shawe-Taylor John |
Pubbl/distr/stampa | Cambridge : , : Cambridge University Press, , 2004 |
Descrizione fisica | 1 online resource (xiv, 462 pages) : digital, PDF file(s) |
Disciplina | 006.3/1 |
Soggetto topico |
Machine learning
Algorithms Kernel functions Pattern perception - Data processing |
ISBN |
1-107-14456-6
1-139-63694-4 1-280-51598-8 9786610515981 0-511-21418-9 0-511-21597-5 0-511-21060-4 0-511-31495-7 0-511-80968-9 0-511-21237-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Half-title; Title; Copyright; Contents; Code fragments; Preface; 1 Pattern analysis; 2 Kernel methods: an overview; 3 Properties of kernels; 4 Detecting stable patterns; 5 Elementary algorithms in feature space; 6 Pattern analysis using eigen-decompositions; 7 Pattern analysis using convex optimisation; 8 Ranking, clustering and data visualisation; 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; A.1 Proof of McDiarmid's theorem
A.2 Stability of principal components analysisA.3 Proofs of diffusion kernels; Appendix B Notational conventions; B.1 List of symbols; B.2 Notation for Tables; Appendix C List of pattern analysis methods; C.1 Pattern analysis computations; C.2 Pattern analysis algorithms; Appendix D List of kernels; D.1 Kernel definitions and computations; D.2 Kernel algorithms; References; Index |
Record Nr. | UNINA-9910784411103321 |
Shawe-Taylor John
![]() |
||
Cambridge : , : Cambridge University Press, , 2004 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
Kernel methods for pattern analysis / / John Shawe-Taylor, Nello Cristianini |
Autore | Shawe-Taylor John |
Edizione | [1st ed.] |
Pubbl/distr/stampa | Cambridge, UK ; ; New York, : Cambridge University Press, 2004 |
Descrizione fisica | 1 online resource (xiv, 462 pages) : digital, PDF file(s) |
Disciplina | 006.3/1 |
Altri autori (Persone) | CristianiniNello |
Soggetto topico |
Machine learning
Algorithms Kernel functions Pattern perception - Data processing |
ISBN |
1-107-14456-6
1-139-63694-4 1-280-51598-8 9786610515981 0-511-21418-9 0-511-21597-5 0-511-21060-4 0-511-31495-7 0-511-80968-9 0-511-21237-2 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Half-title; Title; Copyright; Contents; Code fragments; Preface; 1 Pattern analysis; 2 Kernel methods: an overview; 3 Properties of kernels; 4 Detecting stable patterns; 5 Elementary algorithms in feature space; 6 Pattern analysis using eigen-decompositions; 7 Pattern analysis using convex optimisation; 8 Ranking, clustering and data visualisation; 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; A.1 Proof of McDiarmid's theorem
A.2 Stability of principal components analysisA.3 Proofs of diffusion kernels; Appendix B Notational conventions; B.1 List of symbols; B.2 Notation for Tables; Appendix C List of pattern analysis methods; C.1 Pattern analysis computations; C.2 Pattern analysis algorithms; Appendix D List of kernels; D.1 Kernel definitions and computations; D.2 Kernel algorithms; References; Index |
Record Nr. | UNINA-9910825792703321 |
Shawe-Taylor John
![]() |
||
Cambridge, UK ; ; New York, : Cambridge University Press, 2004 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|