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ORCID4. EuroCOLT 1999: Nordkirchen, Germany
- Paul Fischer, Hans Ulrich Simon
:
Computational Learning Theory, 4th European Conference, EuroCOLT '99, Nordkirchen, Germany, March 29-31, 1999, Proceedings. Lecture Notes in Computer Science 1572, Springer 1999, ISBN 3-540-65701-0
Invited Lectures
- Robert E. Schapire:
Theoretical Views of Boosting. 1-10 - Richard S. Sutton:
Open Theoretical Questions in Reinforcement Learning. 11-17
Learning from Random Examples
- Nigel Duffy, David P. Helmbold:
A Geometric Approach to Leveraging Weak Learners. 18-33 - Ran Bachrach, Shai Fine, Eli Shamir:
Query by Committee, Linear Separation and Random Walks. 34-49 - Peter L. Bartlett, Shai Ben-David:
Hardness Results for Neural Network Approximation Problems. 50-62
Learning from Queries and Counterexamples
- Víctor Dalmau, Peter Jeavons:
Learnability of Quantified Formulas. 63-78 - Jürgen Forster:
Learning Multiplicity Automata from Smallest Counterexamples. 79-90 - David Guijarro, Víctor Lavín, Vijay Raghavan:
Exact Learning when Irrelevant Variables Abound. 91-100 - Thomas Hofmeister:
An Application of Codes to Attribute-Efficient Learning. 101-110 - Roni Khardon:
Learning Range Restricted Horn Expressions. 111-125
Reinforcement Learning
- Vladislav Tadic:
On the Asymptotic Behaviour of a Constant Stepsize Temporal-Difference Learning Algorithm. 126-137
On-line Learning and Expert Advice
- David P. Helmbold, Sandra Panizza, Manfred K. Warmuth:
Direct and Indirect Algorithms for On-line Learning of Disjunctions. 138-152 - Jyrki Kivinen, Manfred K. Warmuth:
Averaging Expert Predictions. 153-167
Teaching and Learning
- Christian Kuhlmann:
On Teaching and Learning Intersection-Closed Concept Classes. 168-182
Inductive Inference
- Matthias Ott, Frank Stephan:
Avoiding Coding Tricks by Hyperrobust Learning. 183-197 - Sanjay Jain, Arun Sharma:
Mind Change Complexity of Learning Logic Programs. 198-213
Statistical Theory of Learning and Pattern Recognition
- Alexander J. Smola, Robert C. Williamson, Sebastian Mika, Bernhard Schölkopf:
Regularized Principal Manifolds. 214-229 - Nicolas Vayatis, Robert Azencott:
Distribution-Dependent Vapnik-Chervonenkis Bounds. 230-240 - András Antos:
Lower Bounds on the Rate of Convergence of Nonparametric Pattern Recognition. 241-252 - Márta Horváth:
On Error Estimation for the Partitioning Classification Rule. 253-262 - John Shawe-Taylor, Nello Cristianini:
Margin Distribution Bounds on Generalization. 263-273 - John Shawe-Taylor, Nello Cristianini:
Generalization Performance of Classifiers in Terms of Observed Covering Numbers. 274-284 - Robert C. Williamson, Alexander J. Smola, Bernhard Schölkopf:
Entropy Numbers, Operators and Support Vector Kernels. 285-299
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