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20. ALT 2009: Porto, Portugal
- Ricard Gavaldà, Gábor Lugosi, Thomas Zeugmann, Sandra Zilles:
Algorithmic Learning Theory, 20th International Conference, ALT 2009, Porto, Portugal, October 3-5, 2009. Proceedings. Lecture Notes in Computer Science 5809, Springer 2009, ISBN 978-3-642-04413-7
Invited Papers
- Sanjoy Dasgupta:
The Two Faces of Active Learning. 1 - Hector Geffner:
Inference and Learning in Planning. 2 - Jiawei Han:
Mining Heterogeneous Information Networks by Exploring the Power of Links. 3 - Yishay Mansour:
Learning and Domain Adaptation. 4-6 - Fernando C. N. Pereira:
Learning on the Web. 7
Online Learning
- Alexey V. Chernov
, Vladimir Vovk
Prediction with Expert Evaluators' Advice. 8-22 - Sébastien Bubeck, Rémi Munos, Gilles Stoltz:
Pure Exploration in Multi-armed Bandits Problems. 23-37 - Vladimir V. V'yugin:
The Follow Perturbed Leader Algorithm Protected from Unbounded One-Step Losses. 38-52 - Lukasz Debowski
Computable Bayesian Compression for Uniformly Discretizable Statistical Models. 53-67 - Vianney Perchet:
Calibration and Internal No-Regret with Random Signals. 68-82 - László Györfi, Péter Kevei
St. Petersburg Portfolio Games. 83-96
Learning Graphs
- Nader H. Bshouty, Hanna Mazzawi:
Reconstructing Weighted Graphs with Minimal Query Complexity. 97-109 - Nicolò Cesa-Bianchi, Claudio Gentile, Fabio Vitale:
Learning Unknown Graphs. 110-125 - Tatsuya Akutsu
Completing Networks Using Observed Data. 126-140
Active Learning and Query Learning
- Andrew Guillory, Jeff A. Bilmes:
Average-Case Active Learning with Costs. 141-155 - Marta Arias
Canonical Horn Representations and Query Learning. 156-170 - Dana Angluin, Leonor Becerra-Bonache, Adrian-Horia Dediu
Learning Finite Automata Using Label Queries. 171-185 - Balázs Szörényi:
Characterizing Statistical Query Learning: Simplified Notions and Proofs. 186-200 - Ricard Gavaldà
An Algebraic Perspective on Boolean Function Learning. 201-215
Statistical Learning
- Stéphan Clémençon, Nicolas Vayatis:
Adaptive Estimation of the Optimal ROC Curve and a Bipartite Ranking Algorithm. 216-231 - Odalric-Ambrym Maillard, Nicolas Vayatis:
Complexity versus Agreement for Many Views. 232-246 - Alina Beygelzimer, John Langford, Pradeep Ravikumar:
Error-Correcting Tournaments. 247-262
Inductive Inference
- John Case, Timo Kötzing:
Difficulties in Forcing Fairness of Polynomial Time Inductive Inference. 263-277 - Ryo Yoshinaka
Learning Mildly Context-Sensitive Languages with Multidimensional Substitutability from Positive Data. 278-292 - Sanjay Jain, Qinglong Luo, Pavel Semukhin
Uncountable Automatic Classes and Learning. 293-307 - Sanjay Jain, Efim B. Kinber:
Iterative Learning from Texts and Counterexamples Using Additional Information. 308-322 - Lorenzo Carlucci:
Incremental Learning with Ordinal Bounded Example Memory. 323-337 - Sanjay Jain, Frank Stephan
Learning from Streams. 338-352
Semi-supervised and Unsupervised Learning
- Hans Ulrich Simon
Smart PAC-Learners. 353-367 - Stefanie Jegelka, Suvrit Sra
Approximation Algorithms for Tensor Clustering. 368-383 - Maria-Florina Balcan, Heiko Röglin
Agnostic Clustering. 384-398
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