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Título Hybrid Artificial Intelligence Systems [electronic resource] : 9th International Conference, HAIS 2014, Salamanca, Spain, June 11-13, 2014. Proceedings / edited by Marios Polycarpou, André C. P. L. F. de Carvalho, Jeng-Shyang Pan, Micha¿ׯ¿ðniak, Héctor Quintian, Emilio Corchado.

Descripción física XVIII, 710 p. 253 illus. online resource.
text txt rdacontent
computer c rdamedia
online resource cr rdacarrier
text file PDF rda
Colección Lecture Notes in Computer Science, 0302-9743 ; 8480
Lecture Notes in Computer Science, 0302-9743 ; 8480
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Springer eBooks. Computer Science
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Contiene: HAIS Applications -- Data Mining and Knowledge Discovery -- Video and Image Analysis -- Bio-inspired Models and Evolutionary Computation -- Learning Algorithms -- Hybrid Intelligent Systems for Data Mining and Applications -- Classification and Cluster Analysis.
Resumen: This volume constitutes the proceedings of the 9th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2014, held in Salamanca, Spain, in June 2014. The 61 papers published in this volume were carefully reviewed and selected from 199 submissions. They are organized in topical sessions on HAIS applications; data mining and knowledge discovery; video and image analysis; bio-inspired models and evolutionary computation; learning algorithms; hybrid intelligent systems for data mining and applications and classification and cluster analysis.
Materia Computer science.
Artificial intelligence.
Image processing.
Pattern recognition.
Computer Science.
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Artificial Intelligence (incl. Robotics).
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Algorithm Analysis and Problem Complexity.
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Information Systems Applications (incl. Internet).
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Computation by Abstract Devices.
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Pattern Recognition.
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Image Processing and Computer Vision.
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Autor secundario Polycarpou, Marios., editor.
Carvalho, André C. P. L. F. de., editor.
Pan, Jeng-Shyang., editor.
Wo¿ðniak, Micha¿editor., editor.
Quintian, Héctor., editor.
Corchado, Emilio., editor.
SpringerLink (Online service)
En Springer eBooks
OTRO SOPORTE Printed edition: 9783319076164
ISBN 9783319076171 978-3-319-07617-1
ISBN/ISSN 10.1007/978-3-319-07617-1 doi