17. ALT 2006:
Barcelona,
Spain
José L. Balcázar, Philip M. Long, Frank Stephan (Eds.):
Algorithmic Learning Theory, 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings.
Lecture Notes in Computer Science 4264 Springer 2006, ISBN 3-540-46649-5 BibTeX
Invited Contributions
Regular Contributions
- Alp Atici, Rocco A. Servedio:
Learning Unions of omega(1)-Dimensional Rectangles.
32-47
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- Nader H. Bshouty, Ehab Wattad:
On Exact Learning Halfspaces with Random Consistent Hypothesis Oracle.
48-62
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- Matti Kääriäinen:
Active Learning in the Non-realizable Case.
63-77
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- Jorge Castro:
How Many Query Superpositions Are Needed to Learn?
78-92
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- Frank J. Balbach, Thomas Zeugmann:
Teaching Memoryless Randomized Learners Without Feedback.
93-108
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- Stephen A. Fenner, William I. Gasarch:
The Complexity of Learning SUBSEQ (A).
109-123
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- Matthew de Brecht, Akihiro Yamamoto:
Mind Change Complexity of Inferring Unbounded Unions of Pattern Languages from Positive Data.
124-138
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- Sanjay Jain, Efim B. Kinber:
Learning and Extending Sublanguages.
139-153
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- Sanjay Jain, Efim B. Kinber:
Iterative Learning from Positive Data and Negative Counterexamples.
154-168
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- Sanjay Jain, Steffen Lange, Sandra Zilles:
Towards a Better Understanding of Incremental Learning.
169-183
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- Nader H. Bshouty, Iddo Bentov:
On Exact Learning from Random Walk.
184-198
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- Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman:
Risk-Sensitive Online Learning.
199-213
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- Vladimir Vovk:
Leading Strategies in Competitive On-Line Prediction.
214-228
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- Chamy Allenberg, Peter Auer, László Györfi, György Ottucsák:
Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring.
229-243
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- Marcus Hutter:
General Discounting Versus Average Reward.
244-258
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- Jan Poland:
The Missing Consistency Theorem for Bayesian Learning: Stochastic Model Selection.
259-273
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- Shane Legg:
Is There an Elegant Universal Theory of Prediction?
274-287
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- Leonid Kontorovich, Corinna Cortes, Mehryar Mohri:
Learning Linearly Separable Languages.
288-303
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- Kohei Hatano:
Smooth Boosting Using an Information-Based Criterion.
304-318
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- Hsuan-Tien Lin, Ling Li:
Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.
319-333
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- Daniil Ryabko, Marcus Hutter:
Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence.
334-347
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- Takeshi Shibata, Ryo Yoshinaka, Takashi Chikayama:
Probabilistic Generalization of Simple Grammars and Its Application to Reinforcement Learning.
348-362
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- Andreas Maurer:
Unsupervised Slow Subspace-Learning from Stationary Processes.
363-377
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- Atsuyoshi Nakamura:
Learning-Related Complexity of Linear Ranking Functions.
378-392
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Copyright © Sat May 16 22:57:37 2009
by Michael Ley (ley@uni-trier.de)
