Computational Learning Theory: 4th European Conference, EuroCOLT’99 Nordkirchen, Germany, March 29–31, 1999 Proceedings
Invited Lectures -- Theoretical Views of Boosting -- Open Theoretical Questions in Reinforcement Learning -- Learning from Random Examples -- A Geometric Approach to Leveraging Weak Learners -- Query by Committee, Linear Separation and Random Walks -- Hardness Results for Neural Network Approximatio...
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| 1. Verfasser: | |
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| Weitere Verfasser: | |
| Dokumenttyp: | Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin, Heidelberg
Springer-Verlag Berlin Heidelberg
1999
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| Schriftenreihe: | Lecture notes in computer science
1572 |
| In: |
Lecture notes in computer science (1572)
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| Volumes / Articles: | Show Volumes / Articles. |
| DOI: | 10.1007/3-540-49097-3 |
| Schlagworte: | |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/3-540-49097-3 Resolving-System, Volltext: http://dx.doi.org/10.1007/3-540-49097-3 Cover: https://swbplus.bsz-bw.de/bsz322914493cov.jpg Inhaltsverzeichnis: https://swbplus.bsz-bw.de/bsz075164256inh.htm Kapitel 1: https://swbplus.bsz-bw.de/bsz075164256kap.htm 
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| Verfasserangaben: | edited by Paul Fischer, Hans Ulrich Simon |
MARC
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| 520 | |a Invited Lectures -- Theoretical Views of Boosting -- Open Theoretical Questions in Reinforcement Learning -- Learning from Random Examples -- A Geometric Approach to Leveraging Weak Learners -- Query by Committee, Linear Separation and Random Walks -- Hardness Results for Neural Network Approximation Problems -- Learning from Queries and Counterexamples -- Learnability of Quantified Formulas -- Learning Multiplicity Automata from Smallest Counterexamples -- Exact Learning when Irrelevant Variables Abound -- An Application of Codes to Attribute-Efficient Learning -- Learning Range Restricted Horn Expressions -- Reinforcement Learning -- On the Asymptotic Behavior of a Constant Stepsize Temporal-Difference Learning Algorithm -- On-line Learning and Expert Advice -- Direct and Indirect Algorithms for On-line Learning of Disjunctions -- Averaging Expert Predictions -- Teaching and Learning -- On Teaching and Learning Intersection-Closed Concept Classes -- Inductive Inference -- Avoiding Coding Tricks by Hyperrobust Learning -- Mind Change Complexity of Learning Logic Programs -- Statistical Theory of Learning and Pattern Recognition -- Regularized Principal Manifolds -- Distribution-Dependent Vapnik-Chervonenkis Bounds -- Lower Bounds on the Rate of Convergence of Nonparametric Pattern Recognition -- On Error Estimation for the Partitioning Classification Rule -- Margin Distribution Bounds on Generalization -- Generalization Performance of Classifiers in Terms of Observed Covering Numbers -- Entropy Numbers, Operators and Support Vector Kernels. | ||
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