Innovations in Neural Information Paradigms and Applications

Innovations in Neural Information Paradigms and Applications


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Product Details

ISBN-13: 9783642260971
Publisher: Springer Berlin Heidelberg
Publication date: 02/25/2012
Series: Studies in Computational Intelligence , #247
Edition description: 2010
Pages: 293
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

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.

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