Advances in kernel methods - Info and Reading Options
support vector learning
By Alexander J. Smola
"Advances in kernel methods" was published by MIT Press in 1999 - Cambridge, Mass, it has 376 pages and the language of the book is English.
“Advances in kernel methods” Metadata:
- Title: Advances in kernel methods
- Author: Alexander J. Smola
- Language: English
- Number of Pages: 376
- Publisher: MIT Press
- Publish Date: 1999
- Publish Location: Cambridge, Mass
“Advances in kernel methods” Subjects and Themes:
- Subjects: ➤ Algorithms - Kernel functions - Machine learning - Vector analysis - Apprentissage automatique - Algorithmes - Noyaux (Mathématiques) - COMPUTERS - Enterprise Applications - Business Intelligence Tools - Intelligence (AI) & Semantics - Kunstmatige intelligentie - Algoritmen - Patroonherkenning - Functies (wiskunde) - Machine-learning - Fiction - Chinese Americans - Juvenile fiction - Brothers - Railroads - Central Pacific Railroad Company
Edition Specifications:
- Pagination: vii, 376 p. :
Edition Identifiers:
- The Open Library ID: OL378250M - OL19451178W
- Online Computer Library Center (OCLC) ID: 44957981 - 39706960 - 39706952
- Library of Congress Control Number (LCCN): 98040302 - 98040403
- ISBN-10: 0262194163
- All ISBNs: 0262194163
AI-generated Review of “Advances in kernel methods”:
"Advances in kernel methods" Description:
The Open Library:
The Support Vector Machine is a powerful new learning algorithm for solving a variety of learning and function estimation problems, such as pattern recognition, regression estimation, and operator inversion. The impetus for this collection was a workshop on Support Vector Machines held at the 1997 NIPS conference. The contributors, both university researchers and engineers developing applications for the corporate world, form a Who's Who of this exciting new area.
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