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ORCIDInnovations in Neural Information Paradigms and Applications 2009
- Monica Bianchini, Marco Maggini, Franco Scarselli
, Lakhmi C. Jain:
Innovations in Neural Information Paradigms and Applications. Studies in Computational Intelligence 247, Springer 2009, ISBN 978-3-642-04002-3 - Monica Bianchini, Marco Maggini, Franco Scarselli, Lakhmi C. Jain:
Advances in Neural Information Processing Paradigms. 1-7 - Fabio Aiolli, Giovanni Da San Martino, Markus Hagenbuchner, Alessandro Sperduti:
Self-Organizing Maps for Structured Domains: Theory, Models, and Learning of Kernels. 9-42 - Ah Chung Tsoi, Markus Hagenbuchner, Rowena Chau, Vincent C. S. Lee:
Unsupervised and Supervised Learning of Graph Domains. 43-65 - Eddie Y. T. Ma, Stefan C. Kremer:
Neural Grammar Networks. 67-96 - Vera Kurková:
Estimates of Model Complexity in Neural-Network Learning. 97-111 - Giorgio Gnecco, Marcello Sanguineti:
Regularization and Suboptimal Solutions in Learning from Data. 113-154 - Edmondo Trentin, Antonino Freno:
Probabilistic Interpretation of Neural Networks for the Classification of Vectors, Sequences and Graphs. 155-182 - Michael Biehl, Barbara Hammer, Petra Schneider, Thomas Villmann:
Metric Learning for Prototype-Based Classification. 183-199 - Battista Biggio, Giorgio Fumera, Fabio Roli:
Bayesian Linear Combination of Neural Networks. 201-230 - Bénard Wiese, Christian W. Omlin:
Credit Card Transactions, Fraud Detection, and Machine Learning: Modelling Time with LSTM Recurrent Neural Networks. 231-268 - Kiran Kumar Ravulakollu, Michael Knowles, Jindong Liu, Stefan Wermter:
Towards Computational Modelling of Neural Multimodal Integration Based on the Superior Colliculus Concept. 269-291
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