Kernel methods pattern analysis (28 Ergebnisse)

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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.

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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. . . . .

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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. pp. 478 Index.

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.

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.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Please note that the content of this book primarily consists of articlesavailable from Wikipedia or other free sources online. In computerscience, kernel methods (KMs) are a class of algorithms for patternanalysis, whose best known element is the support vector machine (SVM).The general task of pattern analysis is to find and study general typesof relations (for example clusters, rankings, principal componentscorrelations, classifications) in general types of data (such assequences, text documents, sets of points, vectors, images, etc.).KMsapproach the problem by mapping the data into a high dimensional featurespace, where each coordinate corresponds to one feature of the dataitems, transforming the data into a set of points in a Euclidean space.In that space, a variety of methods can be used to find relations in thedata. Since the mapping can be quite general (not necessarily linearfor example), the relations found in this way are accordingly verygeneral. This approach is called the kernel trick.…

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Taschenbuch. Zustand: Neu. Kernel Methods | Pattern recognition, Principal component analysis | Kristen Nehemiah Horst | Taschenbuch | Englisch | 2026 | OmniScriptum | EAN 9786137316535 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu Print on Demand. …

Hardcover. Zustand: new. Hardcover. 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. 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. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. …

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. 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 algo.…

Zustand: New. Print on Demand pp. 478 33 Figures, Illus.

Zustand: New. PRINT ON DEMAND pp. 478.

Buch. Zustand: Neu. Kernel Methods for Pattern Analysis | John Shawe-Taylor (u. a.) | Buch | Gebunden | Englisch | 2014 | Cambridge University Press | EAN 9780521813976 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.…