ALT B

33 papers

YearTitle / Authors
2010A Lower Bound for Learning Distributions Generated by Probabilistic Automata.
Borja Balle, Jorge Castro, Ricard Gavaldà
2010A PAC-Bayes Bound for Tailored Density Estimation.
Matthew Higgs, John Shawe-Taylor
2010A Regularization Approach to Metrical Task Systems.
Jacob D. Abernethy, Peter L. Bartlett, Niv Buchbinder, Isabelle Stanton
2010A Spectral Approach for Probabilistic Grammatical Inference on Trees.
Raphaël Bailly, Amaury Habrard, François Denis
2010Algorithmic Learning Theory, 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings
Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann
2010Algorithms for Adversarial Bandit Problems with Multiple Plays.
Taishi Uchiya, Atsuyoshi Nakamura, Mineichi Kudo
2010An Algorithm for Iterative Selection of Blocks of Features.
Pierre Alquier
2010An Identity for Kernel Ridge Regression.
Fedor Zhdanov, Yuri Kalnishkan
2010Approximation Stability and Boosting.
Wei Gao, Zhi-Hua Zhou
2010Bayesian Active Learning Using Arbitrary Binary Valued Queries.
Liu Yang, Steve Hanneke, Jaime G. Carbonell
2010Compressed Learning with Regular Concept.
Jiawei Lv, Jianwen Zhang, Fei Wang, Zheng Wang, Changshui Zhang
2010Consistency of Feature Markov Processes.
Peter Sunehag, Marcus Hutter
2010Contrast Pattern Mining and Its Application for Building Robust Classifiers.
Kotagiri Ramamohanarao
2010Discovery of Abstract Concepts by a Robot.
Ivan Bratko
2010Distribution-Dependent PAC-Bayes Priors.
Guy Lever, François Laviolette, John Shawe-Taylor
2010Editors' Introduction.
Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann
2010Inductive Inference of Languages from Samplings.
Sanjay Jain, Efim B. Kinber
2010Inferring Social Networks from Outbreaks.
Dana Angluin, James Aspnes, Lev Reyzin
2010Learning Figures with the Hausdorff Metric by Fractals.
Mahito Sugiyama, Eiju Hirowatari, Hideki Tsuiki, Akihiro Yamamoto
2010Learning without Coding.
Samuel E. Moelius, Sandra Zilles
2010Lower Bounds on Learning Random Structures with Statistical Queries.
Dana Angluin, David Eisenstat, Leonid Kontorovich, Lev Reyzin
2010Online Multiple Kernel Learning: Algorithms and Mistake Bounds.
Rong Jin, Steven C. H. Hoi, Tianbao Yang
2010Optimal Online Prediction in Adversarial Environments.
Peter L. Bartlett
2010Optimality Issues of Universal Greedy Agents with Static Priors.
Laurent Orseau
2010PAC Learnability of a Concept Class under Non-atomic Measures: A Problem by Vidyasagar.
Vladimir Pestov
2010PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation.
Balázs Csanád Csáji, Raphaël M. Jungers, Vincent D. Blondel
2010Prediction with Expert Advice under Discounted Loss.
Alexey V. Chernov, Fedor Zhdanov
2010Recursive Teaching Dimension, Learning Complexity, and Maximum Classes.
Thorsten Doliwa, Hans Ulrich Simon, Sandra Zilles
2010Solutions to Open Questions for Non-U-Shaped Learning with Memory Limitations.
John Case, Timo Kötzing
2010Switching Investments.
Wouter M. Koolen, Steven de Rooij
2010The Blessing and the Curse of the Multiplicative Updates.
Manfred K. Warmuth
2010Toward a Classification of Finite Partial-Monitoring Games.
Gábor Bartók, Dávid Pál, Csaba Szepesvári
2010Towards General Algorithms for Grammatical Inference.
Alexander Clark