Innovations in Neural Information Paradigms and Applications /
| Autor Corporativo: | |
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| Otros Autores: | , , |
| Formato: | eBook |
| Lenguaje: | English |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2009.
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| Edición: | 1st ed. 2009. |
| Colección: | Studies in Computational Intelligence,
247 |
| Materias: |
Tabla de Contenidos:
- 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.