Innovations in Neural Information Paradigms and Applications

• 14 maart 2012
• 9783642260971

Samenvatting:

Presenting the fundamentals and practical applications of neural information systems, this volume presents the recent developments in the field. Self-organizing structures, neural grammar networks and model complexity are among the many topics discussed.

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 using 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.