Innovations in Neural Information Paradigms and Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Bianchini, Monica (Editor), Maggini, Marco (Editor), Scarselli, Franco (Editor), Jain, Lakhmi C. (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
• Series: Studies in Computational Intelligence, 247
• Subjects: Computer science.; Neurosciences.; Artificial intelligence.; Applied mathematics.; Engineering mathematics.; Computer Science.; Artificial Intelligence (incl. Robotics).; Appl.Mathematics/Computational Methods of Engineering.

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 l...

Table of Contents:

• Advances in Neural Information Processing Paradigms
• Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels
• Unsupervised and Supervised Learning of Graph Domains
• Neural Grammar Networks
• Estimates of Model Complexity in Neural-Network Learning
• Regularization and Suboptimal Solutions in Learning from Data
• Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs
• Metric Learning for Prototype-Based Classification
• Bayesian Linear Combination of Neural Networks
• Credit Card Transactions, Fraud Detection, and Machine Learning: Modelling Time with LSTM Recurrent Neural Networks
• Towards Computational Modelling of Neural Multimodal Integration Based on the Superior Colliculus Concept.