Abstract is missing.
- On Iterative Algorithms with an Information Geometry BackgroundImre Csiszár. 1 [doi]
- Visual Analytics: Combining Automated Discovery with Interactive VisualizationsDaniel A. Keim, Florian Mansmann, Daniela Oelke, Hartmut Ziegler. 2 [doi]
- Some Mathematics behind Graph Property TestingLászló Lovász. 3 [doi]
- Finding Total and Partial Orders from Data for SeriationHeikki Mannila. 4 [doi]
- Computational Models of Neural Representations in the Human BrainTom M. Mitchell. 5-6 [doi]
- Generalization Bounds for Some Ordinal Regression AlgorithmsShivani Agarwal. 7-21 [doi]
- Approximation of the Optimal ROC Curve and a Tree-Based Ranking AlgorithmStéphan Clémençon, Nicolas Vayatis. 22-37 [doi]
- Sample Selection Bias Correction TheoryCorinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh. 38-53 [doi]
- Exploiting Cluster-Structure to Predict the Labeling of a GraphMark Herbster. 54-69 [doi]
- A Uniform Lower Error Bound for Half-Space LearningAndreas Maurer, Massimiliano Pontil. 70-78 [doi]
- Generalization Bounds for K-Dimensional Coding Schemes in Hilbert SpacesAndreas Maurer, Massimiliano Pontil. 79-91 [doi]
- Learning and Generalization with the Information BottleneckOhad Shamir, Sivan Sabato, Naftali Tishby. 92-107 [doi]
- Growth Optimal Investment with Transaction CostsLászló Györfi, István Vajda. 108-122 [doi]
- Online Regret Bounds for Markov Decision Processes with Deterministic TransitionsRonald Ortner. 123-137 [doi]
- On-Line Probability, Complexity and RandomnessAlexey V. Chernov, Alexander Shen, Nikolai K. Vereshchagin, Vladimir Vovk. 138-153 [doi]
- Prequential RandomnessVladimir Vovk, Alexander Shen. 154-168 [doi]
- Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a PredictorDaniil Ryabko. 169-182 [doi]
- Nonparametric Independence Tests: Space Partitioning and Kernel ApproachesArthur Gretton, László Györfi. 183-198 [doi]
- Supermartingales in Prediction with Expert AdviceAlexey V. Chernov, Yuri Kalnishkan, Fedor Zhdanov, Vladimir Vovk. 199-213 [doi]
- Aggregating Algorithm for a Space of Analytic FunctionsMikhail Dashevskiy. 214-226 [doi]
- Smooth Boosting for Margin-Based RankingJun-ichi Moribe, Kohei Hatano, Eiji Takimoto, Masayuki Takeda. 227-239 [doi]
- Learning with Continuous Experts Using Drifting GamesIndraneel Mukherjee, Robert E. Schapire. 240-255 [doi]
- Entropy Regularized LPBoostManfred K. Warmuth, Karen A. Glocer, S. V. N. Vishwanathan. 256-271 [doi]
- Optimally Learning Social Networks with Activations and SuppressionsDana Angluin, James Aspnes, Lev Reyzin. 272-286 [doi]
- Active Learning in Multi-armed BanditsAndrás Antos, Varun Grover, Csaba Szepesvári. 287-302 [doi]
- Query Learning and Certificates in LatticesM. Arias, José L. Balcázar. 303-315 [doi]
- Clustering with Interactive FeedbackMaria-Florina Balcan, Avrim Blum. 316-328 [doi]
- Active Learning of Group-Structured EnvironmentsGábor Bartók, Csaba Szepesvári, Sandra Zilles. 329-343 [doi]
- Finding the Rare CubeShlomo Hoory, Oded Margalit. 344-358 [doi]
- Iterative Learning of Simple External Contextual LanguagesLeonor Becerra-Bonache, John Case, Sanjay Jain, Frank Stephan. 359-373 [doi]
- Topological Properties of Concept SpacesMatthew de Brecht, Akihiro Yamamoto. 374-388 [doi]
- Dynamically Delayed Postdictive Completeness and Consistency in LearningJohn Case, Timo Kötzing. 389-403 [doi]
- Dynamic Modeling in Inductive InferenceJohn Case, Timo Kötzing. 404-418 [doi]
- Optimal Language LearningJohn Case, Samuel E. Moelius. 419-433 [doi]
- Numberings Optimal for LearningSanjay Jain, Frank Stephan. 434-448 [doi]
- Learning with Temporary MemorySteffen Lange, Samuel E. Moelius, Sandra Zilles. 449-463 [doi]
- Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization ErrorsJittat Fakcharoenphol, Boonserm Kijsirikul. 464-466 [doi]