Kernel methods pattern analysis (16 Ergebnisse)

Zustand: Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Zustand: Used; Very Good. **SHIPPED FROM UK** We believe you will be completely satisfied with our quick and reliable service. All orders are dispatched as swiftly as possible! Buy with confidence! Greener Books.

Zustand: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.

paperback. Zustand: New. Language:Chinese.Paperback. Publisher: Machinery Industry Press. This book has three parts. The first part introduces the basic concepts in this field. the book not only gives an expanded introductory example.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New. A unique account of developing topic in data mining and machine learning. Num Pages: 478 pages, 6 tables. BIC Classification: UF; UYQP. Category: (P) Professional & Vocational. Dimension: 248 x 179 x 26. Weight in Grams: 988. . 2004. Illustrated. hardcover. . . . .

Zustand: New.

Hardback. Zustand: New. 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.…

Zustand: New. A unique account of developing topic in data mining and machine learning. Num Pages: 478 pages, 6 tables. BIC Classification: UF; UYQP. Category: (P) Professional & Vocational. Dimension: 248 x 179 x 26. Weight in Grams: 988. . 2004. Illustrated. hardcover. . . . . Books ship from the US and Ireland.…

Hardcover. Zustand: Brand New. illustrated edition. 476 pages. 10.00x7.50x1.25 inches. In Stock.

Zustand: Sehr gut. Zustand: Sehr gut | Seiten: 478 | Sprache: Englisch | Produktart: Bücher | Keine Beschreibung verfügbar.

Buch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. …

Hardback. Zustand: New. 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.…

orig.boards Minor rubbing. An ink mark to bottom page-edge. VG. 26x17cm, xiv,462 pp, Binding corner bumps. "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" - Publisher's description. Minor rubbing. An ink mark to bottom page-edge. VG.…

paperback. Zustand: New. Language:Chinese.Paperback. Publisher: China Machine Press. book details the kernel-based mode analysis of the basic concepts and applications. the main contents include: the main theoretical basis. a number based on.