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The 17th International Conference
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The following papers have been accepted for ALT 2006.
There is no particular order in the list.
Please keep in mind that we need your final version until
July 27, 2006.
| Learning and Extending Sublanguages | Sanjay Jain and Efim Kinber
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| Iterative Learning from Positive Data and Negative Counterexamples | Sanjay Jain and Efim Kinber
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| On Exact Learning Halfspaces with Random Consistent Hypothesis Oracle | Nader H. Bshouty and Ehab Wattad
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| General Discounting versus Average Reward | Marcus Hutter
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| Learning Unions of ω(1)-Dimensional Rectangles | Alp Atici and Rocco A. Servedio
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| The Complexity of Learning SUBSEQ(A) | Stephen Fenner and William Gasarch
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| How Many Query Superpositions Are Needed to Learn? | Jorge Castro
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| The Missing Consistency Theorem for Bayesian Learning: Stochastic Model Selection | Jan Poland
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| Unsupervised Slow Subspace-Learning from Stationary Processes | Andreas Maurer
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Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence |
Daniil Ryabko and Marcus Hutter
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| Smooth Boosting Using an Information-Based Criterion | Kohei Hatano
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| On Exact Learning from Random Walk | Nader H. Bshouty and Iddo Bentov
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| Risk-Sensitive Online Learning | Eyal Even-Dar, Michael Kearns, and Jennifer Wortman
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| Leading Strategies in Competitive on-line Learning | Vladimir Vovk
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| Active Learning in the Non-realizable Case | Matti Kääriäinen
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| Mind Change Complexity of Inferring Unbounded Unions of Pattern Languages From Positive Data | Matthew de Brecht and Akihiro Yamamoto
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| Learning-Related Complexity of Linear Ranking Functions | Atsuyoshi Nakamura
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| Hannan Consistency in on-line Learning in Case of Unbounded Losses under Partial Monitoring | Chamy Allenberg, Peter Auer, László Györfi and György Ottucsák
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| Teaching Memoryless Randomized Learners Without Feedback | Frank J. Balbach and Thomas Zeugmann
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| Towards a Better Understanding of Incremental Learning | Sanjay Jain, Steffen Lange and Sandra Zilles
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| Is there an Elegant Universal Theory of Prediction? | Shane Legg
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Probabilistic Generalization of Simple Grammars and Its Application to Reinforcement Learning |
Takeshi Shibata, Ryo Yoshinaka and Takashi Chikayama
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| Learning Linearly Separable Languages | Leonid Kontorovich, Corinna Cortes and Mehryar Mohri
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| Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice | Hsuan-Tien Lin and Ling Li |
