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Publication search results
found 24 matches
- 1999
- András Antos:
Lower Bounds on the Rate of Convergence of Nonparametric Pattern Recognition. EuroCOLT 1999: 241-252 - Ran Bachrach, Shai Fine, Eli Shamir:
Query by Committee, Linear Separation and Random Walks. EuroCOLT 1999: 34-49 - Peter L. Bartlett, Shai Ben-David:
Hardness Results for Neural Network Approximation Problems. EuroCOLT 1999: 50-62 - Víctor Dalmau, Peter Jeavons:
Learnability of Quantified Formulas. EuroCOLT 1999: 63-78 - Nigel Duffy, David P. Helmbold:
A Geometric Approach to Leveraging Weak Learners. EuroCOLT 1999: 18-33 - Jürgen Forster:
Learning Multiplicity Automata from Smallest Counterexamples. EuroCOLT 1999: 79-90 - David Guijarro, Víctor Lavín, Vijay Raghavan:
Exact Learning when Irrelevant Variables Abound. EuroCOLT 1999: 91-100 - David P. Helmbold, Sandra Panizza, Manfred K. Warmuth:
Direct and Indirect Algorithms for On-line Learning of Disjunctions. EuroCOLT 1999: 138-152 - Thomas Hofmeister:
An Application of Codes to Attribute-Efficient Learning. EuroCOLT 1999: 101-110 - Márta Horváth:
On Error Estimation for the Partitioning Classification Rule. EuroCOLT 1999: 253-262 - Sanjay Jain, Arun Sharma:
Mind Change Complexity of Learning Logic Programs. EuroCOLT 1999: 198-213 - Roni Khardon:
Learning Range Restricted Horn Expressions. EuroCOLT 1999: 111-125 - Jyrki Kivinen, Manfred K. Warmuth:
Averaging Expert Predictions. EuroCOLT 1999: 153-167 - Christian Kuhlmann:
On Teaching and Learning Intersection-Closed Concept Classes. EuroCOLT 1999: 168-182 - Matthias Ott, Frank Stephan:
Avoiding Coding Tricks by Hyperrobust Learning. EuroCOLT 1999: 183-197 - Robert E. Schapire:
Theoretical Views of Boosting. EuroCOLT 1999: 1-10 - John Shawe-Taylor, Nello Cristianini:
Margin Distribution Bounds on Generalization. EuroCOLT 1999: 263-273 - John Shawe-Taylor, Nello Cristianini:
Generalization Performance of Classifiers in Terms of Observed Covering Numbers. EuroCOLT 1999: 274-284 - Alexander J. Smola, Robert C. Williamson, Sebastian Mika, Bernhard Schölkopf:
Regularized Principal Manifolds. EuroCOLT 1999: 214-229 - Richard S. Sutton:
Open Theoretical Questions in Reinforcement Learning. EuroCOLT 1999: 11-17 - Vladislav Tadic:
On the Asymptotic Behaviour of a Constant Stepsize Temporal-Difference Learning Algorithm. EuroCOLT 1999: 126-137 - Nicolas Vayatis, Robert Azencott:
Distribution-Dependent Vapnik-Chervonenkis Bounds. EuroCOLT 1999: 230-240 - Robert C. Williamson, Alexander J. Smola, Bernhard Schölkopf:
Entropy Numbers, Operators and Support Vector Kernels. EuroCOLT 1999: 285-299 - 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 [contents]
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