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Algorithmic learning theory : 7th international workshop, ALT '96, Sydney, Australia, October 23-25, 1996 : proceedings

Algorithmic learning theory : 7th international workshop, ALT '96, Sydney, Australia, October 23-25, 1996 : proceedings

자료유형
단행본
개인저자
Sharma,Arun K., 1962-. Arikawa, S. (Setsuo), 1941-.
서명 / 저자사항
Algorithmic learning theory : 7th international workshop, ALT '96, Sydney, Australia, October 23-25, 1996 : proceedings / Arun K. Sharma, Setsuo Arikawa, eds.
발행사항
New York :   Springer,   1996.  
형태사항
xvii, 336 p. : ill. ; 24 cm.
총서사항
Lecture notes in computer science :Lecture notes in artificial intelligence.; 997..
ISBN
3540618635 (pbk. : alk. paper)
서지주기
Includes bibliographical references and index.
일반주제명
Computer algorithms --Congresses. Machine learning --Congresses.
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001 000000923811
005 19990121113747.0
008 960920s1996 nyua b 101 0 eng
010 ▼a 96044270
020 ▼a 3540618635 (pbk. : alk. paper)
040 ▼a DLC ▼c DLC ▼d 244002
049 0 ▼l 151046069
050 0 0 ▼a QA76.9.A43 ▼b A48 1996
082 0 0 ▼a 006.3/1 ▼2 20
090 ▼a 006.31 ▼b A465a
111 2 ▼a ALT '96 ▼d (1996 : ▼c Sydney, Australia)
245 1 0 ▼a Algorithmic learning theory : ▼b 7th international workshop, ALT '96, Sydney, Australia, October 23-25, 1996 : proceedings / ▼c Arun K. Sharma, Setsuo Arikawa, eds.
260 ▼a New York : ▼b Springer, ▼c 1996.
300 ▼a xvii, 336 p. : ▼b ill. ; ▼c 24 cm.
490 1 ▼a Lecture notes in computer science : ▼p Lecture notes in artificial intelligence.; ▼v 997..
504 ▼a Includes bibliographical references and index.
650 0 ▼a Computer algorithms ▼x Congresses.
650 0 ▼a Machine learning ▼x Congresses.
700 1 ▼a Sharma,Arun K., ▼d 1962-.
700 1 ▼a Arikawa, S. ▼q (Setsuo), ▼d 1941-.

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 세종학술정보원/과학기술실/ 청구기호 006.31 A465a 등록번호 151046069 도서상태 대출가능 반납예정일 예약 서비스 C

컨텐츠정보

목차

Managing complexity in neuroidal circuits.- Learnability of exclusive-or expansion based on monotone DNF formulas.- Improved bounds about on-line learning of smooth functions of a single variable.- Query learning of bounded-width OBDDs.- Learning a representation for optimizable formulas.- Limits of exact algorithms for inference of minimum size finite state machines.- Genetic fitness optimization using rapidly mixing Markov chains.- The kindest cut: Minimum message length segmentation.- Reducing complexity of decision trees with two variable tests.- The complexity of exactly learning algebraic concepts.- Efficient learning of real time two-counter automata.- Cost-sensitive feature reduction applied to a hybrid genetic algorithm.- Effects of Feature Selection with 'Blurring' on neurofuzzy systems.- Boosting first-order learning.- Incorporating hypothetical knowledge into the process of inductive synthesis.- Induction of Constraint Logic Programs.- Constructive learning of translations based on dictionaries.- Inductive logic programming beyond logical implication.- Noise elimination in inductive concept learning: A case study in medical diagnosis.- MML estimation of the parameters of the spherical fisher distribution.- Learning by erasing.- On learning and co-learning of minimal programs.- Inductive inference of unbounded unions of pattern languages from positive data.- A class of prolog programs inferable from positive data.- Vacillatory and BC learning on noisy data.- Transformations that preserve learnability.- Probabilistic limit identification up to "small" sets.- Reflecting inductive inference machines and its improvement by therapy.


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