Algorithmic Learning Theory 19th International Conference, ALT 2008, Budapest, Hungary, October 13-16, 2008, Proceedings /

This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together wit...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Freund, Yoav (Editor ), Györfi, László (Editor ), Turán, György (Editor ), Zeugmann, Thomas (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Artificial Intelligence, 5254
Temas:
Data mining.
Artificial intelligence.
Natural language processing (Computer science).
Digital humanities.
Data Mining and Knowledge Discovery.
Artificial Intelligence.
Natural Language Processing (NLP).
Digital Humanities.
Acceso en línea:Texto Completo
Descripción
Sumario:This book constitutes the refereed proceedings of the 19th International Conference on Algorithmic Learning Theory, ALT 2008, held in Budapest, Hungary, in October 2008, co-located with the 11th International Conference on Discovery Science, DS 2008. The 31 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from 46 submissions. The papers are dedicated to the theoretical foundations of machine learning; they address topics such as statistical learning; probability and stochastic processes; boosting and experts; active and query learning; and inductive inference.
Descripción Física:XIII, 467 p. online resource.
ISBN:9783540879879
ISSN:2945-9141 ;

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