Innovations in neural information paradigms and applications / Monica Bianchini... [and others] (Eds.).

Format:

Book

Contributor:

Bianchini, Monica.

Series:

Studies in computational intelligence ; v. 247.

Studies in computational intelligence, 1860-949X ; v. 247

Language:

English

Subjects (All):

Neural networks (Computer science).

Neural computers.

Physical Description:

x, 291 pages, 1 unnumbered page : illustrations, portraits ; 24 cm.

Place of Publication:

Berlin : Springer-Verlag, [2009]

Summary:

The series Studies in Computational Intelligence (SCI) publishes new developments and advances in the various areas of computational intelligence - quickly and with a high quality. The intent is to cover the theory, applications, and design methods of computational intelligence, as embedded in the fields of engineering, computer science, physics and life science, as well as the methodologies behind them. The series contains monographs, lecture notes and edited volumes in computational intelligence spanning the areas of neural networks, connectionist systems, genetic algorithms, evolutionary computation, artifical intelligence, cellular automata, self-organizing systems, soft computing, fuzzy systems and hybrid intelligent systems. Critical to both contributors and readers are the short publication time and world-wide distribution - this permits a rapid and broad dissemination of research results.

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 paradigms

Self-organising structures

Unsupervised and supervised learning of graph domains

Neural grammar networks

Model complexity in neural network learning

Regularization and suboptimal solutions in neural learning

Neural networks for the classification of vectors, sequences and graphs

Metric learning for prototype based classification

Ensembles of neural networks

Fraud detection uning machine learning

Computational 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.

Contents:

Advances in neural information processing paradigms / Monica Bianchini ...[et al.]

Self-organizing maps for structured domains : theory, models, and learning of kernels / Fabio Aiolli [et al.]

Unsupervised and supervised learning of graph domains / A.C. Tsoi ... [et al.]

Neural grammar networks / Eddie Y.T. Ma and Stefan C. Kremer

Estimates of model complexity in neural-network learning / Věra Kůrková

Regularization and suboptimal solutions in learning from data / Giorgio Gnecco and Marcello Sanguineti

Probabilistic interpretation of neural networks for the classification of vectors, sequences and graphs / Edmondo Trentin and Antonino Freno

Metric learning for prototype-based classification / Michael Biehl ... [et al.]

Bayesian linear combination of neural networks / Battista Biggio, Giorgio Fumera, and Fabio Roli

Credit card transactions, fraud detection, and machine learning : modelling time with LSTM recurrent neural networks / Bénard Wiese and Christian Omlin

Towards computational modelling of neural multimodal integration based on the Superior Colliculus concept / Kiran Ravulakollu ... [et al.]

Notes:

Also available online to SpringerLink subscribers.

Includes bibliographical references and index.

ISBN:

9783642040023

3642040020

OCLC:

449850679