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The 16th International Conference
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The following papers have been accepted for ALT 2005.
There is no particular order in the list.
Please keep in mind that we need your final version until
July 20, 2005.
| Non-asymptotic Calibration and Resolution | Vladimir Vovk
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Learning Multiple Languages in Groups
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Sanjay Jain and Efim Kinber | ||
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PAC-learnability of Probabilistic Deterministic Finite State Automata in terms of Variation Distance
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Nick Palmer and Paul Goldberg | ||
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Measuring Statistical Dependence with Hilbert-Schmidt Norms |
Arthur Gretton, Olivier Bousquet, Alex Smola, and Bernhard Schölkopf | ||
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Learning Attribute-Efficiently with Corrupt Oracles |
Nader Bshouty and Rotem Bennet | ||
| Decision-theoretic Aspects of Defensive Forecasting | Vladimir Vovk | ||
| Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors
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Jittat Fakcharoenphol and Boonserm Kijsirikul | ||
| Inferring Unions of the Pattern Languages by The Most Fitting Covers |
Yen Kaow Ng and Takeshi Shinohara | ||
| Gold-style and Query Learning under Various Constraints on the Target Class | Sanjay Jain, Steffen Lange, and Sandra Zilles |
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On Computability of Pattern Recognition Problems
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Daniil Ryabko | ||
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Defensive Forecasting for Linear Protocols |
Vladimir Vovk, Ilia Nouretdinov, Akimichi Takemura, and Glenn Shafer | ||
| Identification in the Limit of Substitutable Context Free Languages | Alexander Clark and Remi Eyraud
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Stochastic Complexity for Mixture of Exponential Families in Variational Bayes |
Kazuho Watanabe and Sumio Watanabe | ||
| Non U-Shaped Vacillatory and Team Learning | Lorenzo Carlucci, John Case, Sanjay Jain, and Frank Stephan |
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| Algorithms for Learning Regular Expressions |
Henning Fernau | ||
| Monotone Conditional Complexity Bounds on Future Prediction Errors | Alexey Chernov and Marcus Hutter |
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Teaching Learners With Restricted Mind Changes |
Frank J. Balbach and Thomas Zeugmann | ||
| Learning DNF by Statistical and Proper Distance Queries under the Uniform Distribution |
Wolfgang Lindner | ||
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Learning of Elementary Formal Systems with Two Clauses using Queries |
Hirotaka Kato, Satoshi Matsumoto, and Tetsuhiro Miyahara | ||
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On Following the Perturbed Leader in the Bandit Setting |
Jussi Kujala and Tapio Elomaa | ||
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Learnability of Probabilistic Automata via Oracles |
Omri Guttman, S.V.N. Vishwanathan, Robert C. Williamson | ||
| Online Allocation with Risk Information |
Shigeaki Harada, Eiji Takimoto, and Akira Maruoka | ||
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A Class of Prolog Programs with Non-linear Outputs Inferable from Positive Data
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M. R. K. Krishna Rao |
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Absolute versus Probabilistic Classification in a Logical Setting |
Sanjay Jain, Eric Martin, and Frank Stephan | ||
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Learning Causal Structures Based on Markov Equivalence Classes |
Yangbo He, Zhi Geng, and Xun Liang | ||
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An Analysis of the Anti-Learning Phenomenon for the Class Symmetric Polyhedron |
Adam Kowalczyk and Olivier Chapelle | ||
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An Associative Classifier based on Maximum Entropy Principle |
Risi Thonangi and Vikram Pudi | ||
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Defensive Universal Learning with Experts |
Jan Poland and Marcus Hutter | ||
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Consistency and Generalization Bounds for Maximum Entropy Density Estimation
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Shaojun Wang, Russell Greiner, Dale Schuurmans. and Shaomin Wang | ||
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On-line Learning with Delayed Label Feedback |
Chris Mesterharm | ||
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Mixture of Vector Experts |
Matthew Henderson, John Shawe-Taylor, and Janez Zerovnik | ||
