ALT B

31 papers

YearTitle / Authors
2006Active Learning in the Non-realizable Case.
Matti Kääriäinen
2006Algorithmic Learning Theory, 17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings
José L. Balcázar, Philip M. Long, Frank Stephan
2006Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence.
Daniil Ryabko, Marcus Hutter
2006Data-Driven Discovery Using Probabilistic Hidden Variable Models.
Padhraic Smyth
2006Editors' Introduction.
José L. Balcázar, Philip M. Long, Frank Stephan
2006General Discounting Versus Average Reward.
Marcus Hutter
2006Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring.
Chamy Allenberg, Peter Auer, László Györfi, György Ottucsák
2006How Many Query Superpositions Are Needed to Learn?
Jorge Castro
2006Is There an Elegant Universal Theory of Prediction?
Shane Legg
2006Iterative Learning from Positive Data and Negative Counterexamples.
Sanjay Jain, Efim B. Kinber
2006Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice.
Hsuan-Tien Lin, Ling Li
2006Leading Strategies in Competitive On-Line Prediction.
Vladimir Vovk
2006Learning Linearly Separable Languages.
Leonid Kontorovich, Corinna Cortes, Mehryar Mohri
2006Learning Unions of
Alp Atici, Rocco A. Servedio
2006Learning and Extending Sublanguages.
Sanjay Jain, Efim B. Kinber
2006Learning-Related Complexity of Linear Ranking Functions.
Atsuyoshi Nakamura
2006Mind Change Complexity of Inferring Unbounded Unions of Pattern Languages from Positive Data.
Matthew de Brecht, Akihiro Yamamoto
2006On Exact Learning Halfspaces with Random Consistent Hypothesis Oracle.
Nader H. Bshouty, Ehab Wattad
2006On Exact Learning from Random Walk.
Nader H. Bshouty, Iddo Bentov
2006Probabilistic Generalization of Simple Grammars and Its Application to Reinforcement Learning.
Takeshi Shibata, Ryo Yoshinaka, Takashi Chikayama
2006Reinforcement Learning and Apprenticeship Learning for Robotic Control.
Andrew Y. Ng
2006Risk-Sensitive Online Learning.
Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman
2006Smooth Boosting Using an Information-Based Criterion.
Kohei Hatano
2006Solving Semi-infinite Linear Programs Using Boosting-Like Methods.
Gunnar Rätsch
2006Spectral Norm in Learning Theory: Some Selected Topics.
Hans Ulrich Simon
2006Teaching Memoryless Randomized Learners Without Feedback.
Frank J. Balbach, Thomas Zeugmann
2006The Complexity of Learning SUBSEQ (
Stephen A. Fenner, William I. Gasarch
2006The Missing Consistency Theorem for Bayesian Learning: Stochastic Model Selection.
Jan Poland
2006Towards a Better Understanding of Incremental Learning.
Sanjay Jain, Steffen Lange, Sandra Zilles
2006Unsupervised Slow Subspace-Learning from Stationary Processes.
Andreas Maurer
2006e-Science and the Semantic Web: A Symbiotic Relationship.
Carole A. Goble, Óscar Corcho, Pinar Alper, David De Roure