Computational Learning Theory - 4th European Conference, EuroCOLT'99 Nordkirchen, Germany, March 29-31, 1999 Proceedings (Paperback, 1999 ed.)

This volume contains papers presented at the Fourth European Conference on ComputationalLearningTheory, whichwasheldatNordkirchenCastle, inNo- kirchen, NRW, Germany, from March 29 to 31, 1999. This conference is the fourth in a series of bi-annual conferences established in 1993. TheEuroCOLTconferencesarefocusedontheanalysisoflearningalgorithms and the theory of machine learning, and bring together researchers from a wide variety of related elds. Some of the issues and topics that are addressed include the sample and computational complexity of learning speci c model classes, frameworks modeling the interaction between the learner, teacher and the en- ronment (such as learning with queries, learning control policies and inductive inference), learningwithcomplexmodels(suchasdecisiontrees, neuralnetworks, and support vector machines), learning with minimal prior assumptions (such as mistake-bound models, universal prediction, and agnostic learning), and the study of model selection techniques. We hope that these conferences stimulate an interdisciplinary scienti c interaction that will be fruitful in all represented elds. Thirty- ve papers were submitted to the program committee for conside- tion, and twenty-one of these were accepted for presentation at the conference and publication in these proceedings. In addition, Robert Schapire (AT & T Labs), and Richard Sutton (AT & T Labs) were invited to give lectures and contribute a written version to these proceedings. There were a number of other joint events including a banquet and an excursion to Munster ] . The IFIP WG 1.4 Scholarship was awarded to Andra s Antos for his paper \Lower bounds on the rate of convergence of nonparametric pattern recognition.""

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Series:	Lecture Notes in Computer Science, 1572
Release date:	2001
First published:	1999
Editors:	Paul Fischer • Hans U Simon
Dimensions:	235 x 155 x 17mm (L x W x T)
Format:	Paperback
Pages:	299
Edition:	1999 ed.
ISBN-13:	978-3-540-65701-9
Categories:	Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning Promotions
LSN:	3-540-65701-0
Barcode:	9783540657019

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