
Computational learning theory : second European conference, EuroCOLT '95, Barcelona, Spain, March 13-15, 1995 : proceedings
000 | 01262camuuu200313 a 4500 | |
001 | 000000566747 | |
003 | OCoLC | |
005 | 19971002154706.0 | |
008 | 950323s1995 gw a b 101 0 eng d | |
010 | ▼a 95149472 //r96 | |
020 | ▼a 3540591192 (Berlin : acid-free paper) | |
040 | ▼a NRU ▼c DLC | |
042 | ▼a lccopycat | |
049 | ▼a ACSL ▼l 121030992 | |
050 | 0 0 | ▼a Q325.7 ▼b .E97 1995 |
082 | 0 0 | ▼a 006.3/1 ▼2 20 |
090 | ▼a 006.31 ▼b E89c ▼c 1995 | |
111 | 2 | ▼a European Conference on Computational Learning Theory ▼n (2nd : ▼d 1995 : ▼c Barcelona, Spain) |
245 | 1 0 | ▼a Computational learning theory : ▼b second European conference, EuroCOLT '95, Barcelona, Spain, March 13-15, 1995 : proceedings / ▼c Paul Vitanyi, ed. |
260 | ▼a Berlin ; ▼a New York : ▼b Springer, ▼c c1995. | |
300 | ▼a xvii, 414 p. : ▼b ill. ; ▼c 24 cm. | |
490 | 1 | ▼a Lecture notes in computer science ; ▼v 904. ▼a Lecture notes in artificial intelligence. |
504 | ▼a Includes bibliographical references and index. | |
650 | 0 | ▼a Computational learning theory ▼x Congresses. |
650 | 0 | ▼a Artificial intelligence. |
700 | 1 | ▼a Vitanyi, P. M. B. |
830 | 0 | ▼a Lecture notes in computer science ; ▼v 904. |
830 | 0 | ▼a Lecture notes in computer science. ▼p Lecture notes in artificial intelligence. |
소장정보
No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
---|---|---|---|---|---|---|---|
No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.31 E89c 1995 | 등록번호 121030992 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
No. 2 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 006.31 E89c | 등록번호 151024913 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
---|---|---|---|---|---|---|---|
No. 1 | 소장처 과학도서관/Sci-Info(2층서고)/ | 청구기호 006.31 E89c 1995 | 등록번호 121030992 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
---|---|---|---|---|---|---|---|
No. 1 | 소장처 세종학술정보원/과학기술실(5층)/ | 청구기호 006.31 E89c | 등록번호 151024913 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
CONTENTS Editor's Foreword / P.M.B. Vitanyi = xi SESSION 1 Chair : Paul Vitanyi The discovery of algorithmic probability : A guide for the programming of true creativity (Invited Lecture) / R. J. Solomonoff = 1 A decision-theoretic generalization of on-line learning and an application to boosting / Y. freund ; R.E. Schapire = 23 Online learning versus offline learning / S. Ben-David ; E. Kushilevitz ; Y. Mansour = 38 SESSION 2 Chair : Nicola Cesa-Bianchi Learning distributions by their density levels - a paradigm for learning without a teacher / S. Ben-David ; M. Lindenbaum = 53 Tight worst-case loss bounds for predicting with expert advice / D. Haussler ; J. Kivinen ; M. K. Warmuth = 69 On-line Maximum likelihood prediction with respect to general loss functions / K. Yamanishi = 84 SESSION 3 Chair : Rusins Freivalds The power of procrastination in inductive inference : How it depends on used ordinal notations / A. Ambainis = 99 Learnability of Kolmogorov-easy circuit expressions via queries / J. L. Balcazar ; H. Buhrman ; M. Hermo = 112 Trading monotonicity demands versus mind changes / S. Lange ; T. Zeugmann = 125 SESSION 4 Chair : Ricard Gavald ?gravea Learning recursive functions from approximations / J. Case ; S. Kaufmann ; E. Kinber ; M. Kummer = 140 On the intrinsic complexity of learning / R. Freivalds ; E. Kinber ; C.H. Smith = 154 The structure of intrinsic complexity of learning / S. Jain ; A. Sharma = 169 Kolmogorov numberings and minimal identification / R. Freivalds ; S. Jain = 182 SESSION 5 Chair: Ming Li Stochastic complexity in learning(Invited Lecture) / J. Rissanen = 196 Function Learning from interpolation / M. Anthony ; P. Bartlett = 211 Approximation and learning of convex superpositions / L. Gurvits ; P. Koiran = 222 SESSION 6 Chair : Jorma Rissanen Minimum description length estimators under the optimal coding scheme / V.G. Vouk = 237 MDL learning of unions of simple pattern languages from positive examples / P. Kilpel ?acutea inen ; H. Mannila ; E. Ukkonen = 252 A note on the use of probabilities by mechanical learners / E. Martin ; D. Osherson = 261 SESSION 7 Chair : Hans-Ulrich Simon Characterizing rational versus exponential learning cuves / D. Schuurmans = 272 Is Pocket algorithm optimal? / M. Muselli = 287 Some theorems concerning the free energy of (un)constrained stochastic hopfield neural networks / J. van den Berg, J.C. Bioch = 298 SESSION 8 Chair : Wolfgang Maass A space-bounded learning algorithm for axis-parallel rectangles / F. Ameur = 313 Learning decision lists and trees with equivalence-queries / H.U. Simon = 322 SESSION 9 Chair : Kenji Yamanishi Bounding VC-dimension of neural networks : Progress and prospects (Invited Lecture) / M. Karpinski ; A. Macintyre = 337 Average case analysis of a learning algorithm for μ-DNF expressions / M. Golea = 342 Learning by extended statistical queries and its relation to PAC learning / E. Shamir ; C. Shwartzman = 357 SESSION 10 Chair : Martin Anthony Typed pattern languages and their learnability / T. Koshiba = 367 Learning behaviors of automata from shortest counterexamples / f. Bergadano ; S. Varricchio = 380 Learning of regular expressions by pattern matching / A. Brazma = 392 the query complexity of learning some subclasses of context-free grammars / C. Domingo ; V. Lavin = 404 Author Index = 415