Algorithmic Learning Theory : 24th International Conference, ALT 2013, Singapore, October 6-9, 2013. Proceedings
This book constitutes the proceedings of the 24th International Conference on Algorithmic Learning Theory, ALT 2013, held in Singapore in October 2013, and co-located with the 16th International Conference on Discovery Science, DS 2013. The 23 papers presented in this volume were carefully reviewed...
Αποθηκεύτηκε σε:
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | |
| Μορφή: | Livre numérique |
| Γλώσσα: | Anglais |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Έκδοση: | 1st ed. 2013. |
| Σειρά: | Lecture Notes in Artificial Intelligence
8139 |
| Διαθέσιμο Online: | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Σημείωση: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Algorithmic Learning Theory, Texte imprimé, 9783642409349 • Algorithmic Learning Theory, Texte imprimé, 9783642409363 |
Πίνακας περιεχομένων:
- Editors Introduction Learning and Optimizing with Preferences Efficient Algorithms for Combinatorial Online Prediction Exact Learning from Membership Queries: Some Techniques, Results and New Directions Online Learning Universal Algorithm for Trading in Stock Market Based on the Method of Calibration Combinatorial Online Prediction via Metarounding On Competitive Recommendations Online PCA with Optimal Regrets Inductive Inference and Grammatical Inference Partial Learning of Recursively Enumerable Languages Topological Separations in Inductive Inference PAC Learning of Some Subclasses of Context-Free Grammars with Basic Distributional Properties from Positive Data Universal Knowledge-Seeking Agents for Stochastic Environments Teaching and Learning from Queries Order Compression Schemes Learning a Bounded-Degree Tree Using Separator Queries Faster Hoeffding Racing: Bernstein Races via Jackknife Estimates Robust Risk-Averse Stochastic Multi-armed Bandits An Efficient Algorithm for Learning with Semi-bandit Feedback Differentially-Private Learning of Low Dimensional Manifolds Generalization and Robustness of Batched Weighted Average Algorithm with V-Geometrically Ergodic Markov Data Adaptive Metric Dimensionality Reduction Dimension-Adaptive Bounds on Compressive FLD Classification Bayesian Methods for Low-Rank Matrix Estimation: Short Survey and Theoretical Study Concentration and Confidence for Discrete Bayesian Sequence Predictors Algorithmic Connections between Active Learning and Stochastic Convex Optimization Unsupervised/Semi-Supervised Learning Unsupervised Model-Free Representation Learning Fast Spectral Clustering via the Nyström Method Nonparametric Multiple Change Point Estimation in Highly Dependent Time Series