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Algorithmic Learning Theory 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008, Proceedings /

This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together wit...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Freund, Yoav (Editor ), Györfi, László (Editor ), Turán, György (Editor ), Zeugmann, Thomas (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Artificial Intelligence, 5254
Temas:
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Invited Papers
  • On Iterative Algorithms with an Information Geometry Background
  • Visual Analytics: Combining Automated Discovery with Interactive Visualizations
  • Some Mathematics behind Graph Property Testing
  • Finding Total and Partial Orders from Data for Seriation
  • Computational Models of Neural Representations in the Human Brain
  • Regular Contributions
  • Generalization Bounds for Some Ordinal Regression Algorithms
  • Approximation of the Optimal ROC Curve and a Tree-Based Ranking Algorithm
  • Sample Selection Bias Correction Theory
  • Exploiting Cluster-Structure to Predict the Labeling of a Graph
  • A Uniform Lower Error Bound for Half-Space Learning
  • Generalization Bounds for K-Dimensional Coding Schemes in Hilbert Spaces
  • Learning and Generalization with the Information Bottleneck
  • Growth Optimal Investment with Transaction Costs
  • Online Regret Bounds for Markov Decision Processes with Deterministic Transitions
  • On-Line Probability, Complexity and Randomness
  • Prequential Randomness
  • Some Sufficient Conditions on an Arbitrary Class of Stochastic Processes for the Existence of a Predictor
  • Nonparametric Independence Tests: Space Partitioning and Kernel Approaches
  • Supermartingales in Prediction with Expert Advice
  • Aggregating Algorithm for a Space of Analytic Functions
  • Smooth Boosting for Margin-Based Ranking
  • Learning with Continuous Experts Using Drifting Games
  • Entropy Regularized LPBoost
  • Optimally Learning Social Networks with Activations and Suppressions
  • Active Learning in Multi-armed Bandits
  • Query Learning and Certificates in Lattices
  • Clustering with Interactive Feedback
  • Active Learning of Group-Structured Environments
  • Finding the Rare Cube
  • Iterative Learning of Simple External Contextual Languages
  • Topological Properties of Concept Spaces
  • Dynamically Delayed Postdictive Completeness and Consistency in Learning
  • Dynamic Modeling in Inductive Inference
  • Optimal Language Learning
  • Numberings Optimal for Learning
  • Learning with Temporary Memory
  • Erratum: Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors.