Knowledge discovery support vector de hamel (24 resultados)

hardcover. Condición: As New. Like New Condition.Crisp pages. Clean cover and pages. Book shows no shelf wear. Not Satisfied? Contact us to get a refund.

Hardcover. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.

Condición: New. Book.

Condición: As New. Unread book in perfect condition.

Condición: New.

Condición: New. pp. xv + 246 Index.

HRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.

Condición: new.

Condición: As New. Unread book in perfect condition.

Condición: New. pp. xv + 246 Illus.

Condición: New.

Condición: New.

Hardcover. Condición: New. Brand new book, sourced directly from publisher. Dispatch time is 3-4 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Condición: New. In English.

Hardback. Condición: New. New copy - Usually dispatched within 4 working days.

Condición: New. Support Vector Machines (SVM technology) is one of the most user-friendly learning technologies available. Knowledge Discovery with Support Vector Machines provides an accessible introduction to model building and knowledge discovery with one of the preeminent algorithms. Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 246 pages, Illustrations. BIC Classification: UND. Category: (P) Professional & Vocational. Dimension: 163 x 237 x 19. Weight in Grams: 534. . 2009. 1st Edition. Hardcover. . . . . …

Condición: New. Support Vector Machines (SVM technology) is one of the most user-friendly learning technologies available. Knowledge Discovery with Support Vector Machines provides an accessible introduction to model building and knowledge discovery with one of the preemi.

Hardcover. Condición: Brand New. 1st edition. 246 pages. 9.50x6.50x0.75 inches. In Stock.

Condición: New. Support Vector Machines (SVM technology) is one of the most user-friendly learning technologies available. Knowledge Discovery with Support Vector Machines provides an accessible introduction to model building and knowledge discovery with one of the preeminent algorithms. Series: Wiley Series on Methods and Applications in Data Mining. Num Pages: 246 pages, Illustrations. BIC Classification: UND. Category: (P) Professional & Vocational. Dimension: 163 x 237 x 19. Weight in Grams: 534. . 2009. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland. …

Buch. Condición: Neu. Neuware - An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: - Knowledge discovery environments - Describing data mathematically - Linear decision surfaces and functions - Perceptron learning - Maximum margin classifiers - Support vector machines - Elements of statistical learning theory - Multi-class classification - Regression with support vector machines - Novelty detection Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas.…

Hardback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 600.

Hardcover. Condición: Brand New. 1st edition. 246 pages. 9.50x6.50x0.75 inches. In Stock. This item is printed on demand.

Hardcover. Condición: new. Hardcover. An easy-to-follow introduction to support vector machines This book provides an in-depth, easy-to-follow introduction to support vector machines drawing only from minimal, carefully motivated technical and mathematical background material. It begins with a cohesive discussion of machine learning and goes on to cover: Knowledge discovery environments Describing data mathematically Linear decision surfaces and functions Perceptron learning Maximum margin classifiers Support vector machines Elements of statistical learning theory Multi-class classification Regression with support vector machines Novelty detection Complemented with hands-on exercises, algorithm descriptions, and data sets, Knowledge Discovery with Support Vector Machines is an invaluable textbook for advanced undergraduate and graduate courses. It is also an excellent tutorial on support vector machines for professionals who are pursuing research in machine learning and related areas. Support Vector Machines (SVM technology) is one of the most user-friendly learning technologies available. Knowledge Discovery with Support Vector Machines provides an accessible introduction to model building and knowledge discovery with one of the preeminent algorithms. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

Condición: New. PRINT ON DEMAND pp. xv + 246.