ENGLISH

Innovations in Neural Information Paradigms and Applications

By Lakhmi C. Jain (eds.) , Monica Bianchini , Marco Maggini (auth.) , Marco Maggini , Franco Scarselli

Book information

Publisher
Springer-Verlag Berlin Heidelberg
Year
2009
ISBN
978-3-642-04002-3, 978-3-642-04003-0
DOI
10.1007/978-3-642-04003-0
Language
english
Format
PDF
Filesize
6 MB (6413942 bytes)
Series
Studies in Computational Intelligence 247
Edition
1
Pages
293\296
Orientation
yes
Scanned
yes
Time added
2013-08-01 04:00:00
Appl.Mathematics/Computational Methods of Engineer

Description

This research book presents some of the most recent advances in neural information processing models including both theoretical concepts and practical applications. The contributions include: Advances in neural information processing paradigmsSelf organising structuresUnsupervised and supervised learning of graph domainsNeural grammar networksModel complexity in neural network learningRegularization and suboptimal solutions in neural learningNeural networks for the classification of vectors, sequences and graphsMetric learning for prototype-based classificationEnsembles of neural networksFraud detection using machine learningComputational modelling of neural multimodal integration This book is directed to the researchers, graduate students, professors and practitioner interested in recent advances in neural information processing paradigms and applications.

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