Advances in kernel methods

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.

שנה

1998

שפה

English

הוצאה

The MIT Press

מהדורות

2

עמודים

386

ISBN

9780262194167

מקור הנתונים: Wikidata