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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
|
| Σειρά: | Lecture Notes in Computer Science,
5254 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- 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.
