Algorithmic Learning Theory [recurso electrónico] : 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings / edited by Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann.

Por: Kivinen, Jyrki [editor.]Colaborador(es): Szepesvári, Csaba [editor.] | Ukkonen, Esko [editor.] | Zeugmann, Thomas [editor.] | SpringerLink (Online service)Tipo de material: TextoTextoSeries Lecture Notes in Computer Science ; 6925Editor: Berlin, Heidelberg : Springer Berlin Heidelberg, 2011Descripción: XIII, 453 p. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783642244124Tema(s): Computer science | Computer software | Logic design | Artificial intelligence | Computer Science | Artificial Intelligence (incl. Robotics) | Mathematical Logic and Formal Languages | Algorithm Analysis and Problem Complexity | Computation by Abstract Devices | Logics and Meanings of Programs | Information Systems Applications (incl. Internet)Formatos físicos adicionales: Printed edition:: Sin títuloClasificación CDD: 006.3 Clasificación LoC:Q334-342TJ210.2-211.495Recursos en línea: Libro electrónicoTexto En: Springer eBooksResumen: This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.
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Colección de Libros Electrónicos Q334 -342 (Browse shelf(Abre debajo)) 1 No para préstamo 376783-2001

This book constitutes the refereed proceedings of the 22nd International Conference on Algorithmic Learning Theory, ALT 2011, held in Espoo, Finland, in October 2011, co-located with the 14th International Conference on Discovery Science, DS 2011. The 28 revised full papers presented together with the abstracts of 5 invited talks were carefully reviewed and selected from numerous submissions. The papers are divided into topical sections of papers on inductive inference, regression, bandit problems, online learning, kernel and margin-based methods, intelligent agents and other learning models.

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