Computational Learning Theory 4th European Conference, EuroCOLT'99 Nordkirchen, Germany, March 29-31, 1999 Proceedings /

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Fischer, Paul (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Simon, Hans U. (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 1999.
• Έκδοση: 1st ed. 1999.
• Σειρά: Lecture Notes in Artificial Intelligence ; 1572
• Θέματα: Artificial intelligence.; Pattern recognition.; Mathematical logic.; Algorithms.; Computers.; Artificial Intelligence.; Pattern Recognition.; Mathematical Logic and Formal Languages.; Algorithm Analysis and Problem Complexity.; Computation by Abstract Devices.

Πίνακας περιεχομένων:

• 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.