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The 19th International Conference
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The following papers have been accepted for ALT 2008.
There is no particular order in the list.
Please keep in mind that we need your final version until
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Please prepare your final version in accordance with the
Instructions for authors.
| Query Learning and Certificates in Lattices | M. Arias and J.L. Balcázar
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| Optimally Learning Social Networks with Activations and Suppressions | Dana Angluin, James Aspnes, and Lev Reyzin
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| Active Learning in Multi-Armed Bandits | Andras Antos, Varun Grover, and Csaba Szepesvári
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| Generalization Bounds for Some Ordinal Regression Algorithms | Shivani Agarwal
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| Aggregating Algorithm for a Space of Analytic Functions | Mikhail Dashevskiy
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| Iterative Learning of Simple External Contextual Languages | Leonor Becerra-Bonache, John Case, Sanjay Jain, and Frank Stephan
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| Active Learning of Group-Structured Environments | Gábor Bartók, Csaba Szepesvári, and Sandra Zilles
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| Clustering with Interactive Feedback | Maria-Florina Balcan and Avrim Blum
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| Dynamically Delayed Postdictive Completeness and Consistency in Learning | John Case and Timo Koetzing
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| Dynamic Modeling in Inductive Inference | John Case and Timo Koetzing
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| Supermartingales in Prediction with Expert Advice | Alexey Chernov, Yuri Kalnishkan, Vladimir Vovk, and Fedor Zhdanov
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| On-line Probability, Complexity and Randomness | Alexey Chernov, Alexander Shen, Nikolai Vereshchagin, and Vladimir Vovk
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| Approximation of the Optimal ROC Curve and a Tree-based Ranking Algorithm | Stéphan Clémençon and Nicolas Vayatis
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| Sample Selection Bias Correction Theory | Corinna Cortes, Mehryar Mohri, Michael Riley, and Afshin Rostamizadeh
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| Growth Optimal Investment with Transaction Costs | László Györfi and István Vajda
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| Nonparametric Independence Tests: Space Partitioning and Kernel Approaches | Arthur Gretton and László Györfi
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| Exploiting Cluster-Structure to Predict the Labeling of a Graph | Mark Herbster
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| Finding the Rare Cube | Shlomo Hoory and Oded Margalit
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| Numberings Optimal for Learning | Sanjay Jain and Frank Stephan
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| Learning with Temporary Memory | Steffen Lange, Samuel E. Moelius III, and Sandra Zilles
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| Uniform error bounds for K-dimensional coding schemes in Hilbert spaces | Andreas Maurer and Massimiliano Pontil
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| Learning with Continuous Experts Using Drifting Games | Indraneel Mukherjee and Robert E. Schapire
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| Prequential Randomness | Vladimir Vovk and Alexander Shen
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| Learning and Generalization with the Information Bottleneck | Ohad Shamir, Sivan Sabato, and Naftali Tishby
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| Online Regret Bounds for Markov Decision Processes with Deterministic Transitions | Ronald Ortner
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| Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor | Daniil Ryabko
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| Entropy Regularized LPBoost | Manfred K. Warmuth, Karen A. Glocer, and S.V.N. Vishwanathan
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| Optimal Language Learning | John Case and Samuel E. Moelius III
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| Smooth Boosting for Margin-Based Ranking | Jun-ichi Moribe, Kohei Hatano, Eiji Takimoto, and Masayuki Takeda
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| Topological Properties of Concept Spaces | Matthew de Brecht and Akihiro Yamamoto
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| A Uniform Lower Error Bound for Half-space Learning | Andreas Maurer and Massimiliano Pontil |
