Algorithmic Learning Theory 16th International Conference, ALT 2005, Singapore, October 8-11, 2005. Proceedings /
Συγγραφή απο Οργανισμό/Αρχή: | |
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Άλλοι συγγραφείς: | , , |
Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2005.
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Σειρά: | Lecture Notes in Computer Science,
3734 |
Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Editors’ Introduction
- Editors’ Introduction
- Invited Papers
- Invention and Artificial Intelligence
- The Arrowsmith Project: 2005 Status Report
- The Robot Scientist Project
- Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources
- Training Support Vector Machines via SMO-Type Decomposition Methods
- Kernel-Based Learning
- Measuring Statistical Dependence with Hilbert-Schmidt Norms
- An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron
- Learning Causal Structures Based on Markov Equivalence Class
- Stochastic Complexity for Mixture of Exponential Families in Variational Bayes
- ACME: An Associative Classifier Based on Maximum Entropy Principle
- Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis of the Generalization Errors
- On Computability of Pattern Recognition Problems
- PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance
- Learnability of Probabilistic Automata via Oracles
- Learning Attribute-Efficiently with Corrupt Oracles
- Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution
- Learning of Elementary Formal Systems with Two Clauses Using Queries
- Gold-Style and Query Learning Under Various Constraints on the Target Class
- Non U-Shaped Vacillatory and Team Learning
- Learning Multiple Languages in Groups
- Inferring Unions of the Pattern Languages by the Most Fitting Covers
- Identification in the Limit of Substitutable Context-Free Languages
- Algorithms for Learning Regular Expressions
- A Class of Prolog Programs with Non-linear Outputs Inferable from Positive Data
- Absolute Versus Probabilistic Classification in a Logical Setting
- Online Allocation with Risk Information
- Defensive Universal Learning with Experts
- On Following the Perturbed Leader in the Bandit Setting
- Mixture of Vector Experts
- On-line Learning with Delayed Label Feedback
- Monotone Conditional Complexity Bounds on Future Prediction Errors
- Non-asymptotic Calibration and Resolution
- Defensive Prediction with Expert Advice
- Defensive Forecasting for Linear Protocols
- Teaching Learners with Restricted Mind Changes.