Research Catalog
Computational learning theory : second European Conference, EuroCOLT '95, Barcelona, Spain, March 13-15, 1995 : proceedings
- Title
- Computational learning theory : second European Conference, EuroCOLT '95, Barcelona, Spain, March 13-15, 1995 : proceedings / Paul Vitányi (ed.).
- Author
- European Conference on Computational Learning Theory (2nd : 1995 : Barcelona, Spain)
- Publication
- Berlin ; New York : Springer, c c1995
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Status | Format | Access | Call Number | Item Location |
---|---|---|---|---|
Text | Request in advance | Q325.7 .E973 1995g | Off-site |
Holdings
Details
- Additional Authors
- Vitányi, P. M. B.
- Description
- xvii, 414 pages : illustrations; 24 cm.
- Series Statement
- Lecture notes in artificial intelligence ; 904
- Uniform Title
- Lecture notes in computer science. Lecture notes in artificial intelligence ; 904.
- Subject
- Bibliography (note)
- Includes bibliographical references and index.
- Contents
- Editor's Foreword / P. M. B. Vitanyi -- The discovery of algorithmic probability: A guide for the programming of true creativity / R. J. Solomonoff -- A decision-theoretic generalization of on-line learning and an application to boosting / Y. Freund and R. E. Schapire -- Online learning versus offline learning / S. Ben-David, E. Kushilevitz and Y. Mansour -- Learning distributions by their density levels - a paradigm for learning without a teacher / S. Ben-David and M. Lindenbaum -- Tight worst-case loss bounds for predicting with expert advice / D. Haussler, J. Kivinen and M. K. Warmuth -- On-line maximum likelihood prediction with respect to general loss functions / K. Yamanishi -- The power of procrastination in inductive inference: How it depends on used ordinal notations / A. Ambainis -- Learnability of Kolmogorov-easy circuit expressions via queries / J. L. Balcazar, H. Buhrman and M. Hermo -- Trading monotonicity demands versus mind changes / S. Lange and T. Zeugmann.
- Learning recursive functions from approximations / J. Case, S. Kaufmann, E. Kinber and M. Kummer -- On the intrinsic complexity of learning / R. Freivalds, E. Kinber and C. H. Smith -- The structure of intrinsic complexity of learning / S. Jain and A. Sharma -- Kolmogorov numberings and minimal identification / R. Freivalds and S. Jain -- Stochastic complexity in learning / J. Rissanen -- Function learning from interpolation / M. Anthony and P. Bartlett -- Approximation and learning of convex superpositions / L. Gurvits and P. Koiran -- Minimum description length estimators under the optimal coding scheme / V. G. Vovk -- MDL learning of unions of simple pattern languages from positive examples / P. Kilpelainen, H. Mannila and E. Ukkonen -- A note on the use of probabilities by mechanical learners / E. Martin and D. Osherson -- Characterizing rational versus exponential learning curves / D. Schuurmans -- Is Pocket algorithm optimal? / M. Muselli.
- Some theorems concerning the free energy of (un)constrained stochastic hopfield neural networks.
- ISBN
- 3540591192
- OCLC
- ocm32190323
- Owning Institutions
- Columbia University Libraries