logo
logo
x
바코드검색
BOOKPRICE.co.kr
책, 도서 가격비교 사이트
바코드검색

인기 검색어

실시간 검색어

검색가능 서점

도서목록 제공

Computational Learning Theory: Second European Conference, Eurocolt '95, Barcelona, Spain, March 13 - 15, 1995. Proceedings

Computational Learning Theory: Second European Conference, Eurocolt '95, Barcelona, Spain, March 13 - 15, 1995. Proceedings (Paperback, 1995)

Paul Vitanyi (엮은이), P. M. B. Vitanyi
Springer
99,980원

일반도서

검색중
서점 할인가 할인률 배송비 혜택/추가 실질최저가 구매하기
81,980원 -18% 0원
4,100원
77,880원 >
yes24 로딩중
교보문고 로딩중
notice_icon 검색 결과 내에 다른 책이 포함되어 있을 수 있습니다.

중고도서

검색중
서점 유형 등록개수 최저가 구매하기
로딩중

eBook

검색중
서점 정가 할인가 마일리지 실질최저가 구매하기
로딩중

책 이미지

Computational Learning Theory: Second European Conference, Eurocolt '95, Barcelona, Spain, March 13 - 15, 1995. Proceedings
eBook 미리보기

책 정보

· 제목 : Computational Learning Theory: Second European Conference, Eurocolt '95, Barcelona, Spain, March 13 - 15, 1995. Proceedings (Paperback, 1995) 
· 분류 : 외국도서 > 컴퓨터 > 인공지능(AI)
· ISBN : 9783540591191
· 쪽수 : 422쪽
· 출판일 : 1995-02-23

목차

The discovery of algorithmic probability: A guide for the programming of true creativity.- A desicion-theoretic generalization of on-line learning and an application to boosting.- Online learning versus offline learning.- Learning distributions by their density levels - A paradigm for learning without a teacher.- Tight worst-case loss bounds for predicting with expert advice.- On-line maximum likelihood prediction with respect to general loss functions.- The power of procrastination in inductive inference: How it depends on used ordinal notations.- Learnability of Kolmogorov-easy circuit expressions via queries.- Trading monotonicity demands versus mind changes.- Learning recursive functions from approximations.- On the intrinsic complexity of learning.- The structure of intrinsic complexity of learning.- Kolmogorov numberings and minimal identification.- Stochastic complexity in learning.- Function learning from interpolation (extended abstract).- Approximation and learning of convex superpositions.- Minimum description length estimators under the optimal coding scheme.- MDL learning of unions of simple pattern languages from positive examples.- A note on the use of probabilities by mechanical learners.- Characterizing rational versus exponential learning curves.- Is pocket algorithm optimal?.- Some theorems concerning the free energy of (Un) constrained stochastic Hopfield neural networks.- A space-bounded learning algorithm for axis-parallel rectangles.- Learning decision lists and trees with equivalence-queries.- Bounding VC-dimension for neural networks: Progress and prospects.- Average case analysis of a learning algorithm for ?-DNF expressions.- Learning by extended statistical queries and its relation to PAC learning.- Typed pattern languages and their learnability.- Learning behaviors of automata from shortest counterexamples.- Learning of regular expressions by pattern matching.- The query complexity of learning some subclasses of context-free grammars.

이 포스팅은 쿠팡 파트너스 활동의 일환으로,
이에 따른 일정액의 수수료를 제공받습니다.
이 포스팅은 제휴마케팅이 포함된 광고로 커미션을 지급 받습니다.
도서 DB 제공 : 알라딘 서점(www.aladin.co.kr)
최근 본 책