설명
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.
책 세부 정보
형식
페이퍼백
언어
영어
출판됨
May 14, 2014
출판사
MIT Press (MA)
판본
2 editions
ISBN-10
0585128294
ISBN-13
9780585128290