한국과학기술원 도서관

서지주요정보
Advances in learning theory : methods, models, and applications
서명 / 저자	Advances in learning theory : methods, models, and applications / edited by Johan Suykens ... [et al.].
저자명	Suykens, Johan A. K.
회의명	Suykens, Johan A. K.
발행사항	Amsterdam ; Washington, DC : IOS Press ; Tokyo : Ohmsha, c2003.
총서명	NATO science series. Series III, Computer and systems sciences, 1387-6694 ; v. 190

등록번호

5044222

소장위치/청구기호

학술문화관(도서관)3층 과학기술도서

Q325.7 .N37 2003

도서상태

이용가능(대출불가)

반납예정일

서지기타정보
청구기호	Q325.7 .N37 2003
형태사항	xxi, 415 p. : ill. ; 25 cm.
언어	English
일반주기	"Proceedings of the NATO Advanced Study Institute on Learning Theory and Practice, 8-19 July 2002, Leuven, Belgium"--T.p. verso. "Published in cooperation with NATO Scientific Affairs Division."
서지주기	Includes bibliographical references and indexes.
주제	Computational learning theory --Congresses. Machine learning --Mathematical models --Congresses.
LCCN	2003103695
ISBN	1586033417 427490587X

QR CODE

전체보기

Foundations of computational intelligence. [electronic resource] / Volume 1, Learning and approximation Hassanien, Aboul-Ella Q325.7 .F771 2009
Goal-driven learning Ram, Ashwin Q325.7 .G63 1995
Advances in learning theory : methods, models, and applications NATO Advanced Study Institute on Learning Theory and Practice Q325.7 .N37 2003
The nature of statistical learning theory Vapnik, Vladimir Naumovich Q325.7 .V37 2000
The nature of statistical learning theory Vapnik, Vladimir Naumovich Q325.7 .V37 2000

메뉴