The Handbook of brain theory and neural networks
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- Deep learning in neural networks: An overview→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Learning the parts of objects by non-negative matrix factorization→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Pattern Recognition and Neural Networks→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Popular Ensemble Methods: An Empirical Study→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Convolutional Neural Networks for Speech Recognition→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Convolutional Sequence to Sequence Learning→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Variational Algorithms for Approximate Bayesian Inference→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Locally Weighted Learning→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Artificial intelligence in digital pathology — new tools for diagnosis and precision onco…→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Approximation theory of the MLP model in neural networks→The Handbook of brain theory and neural networksLegacy edge — source detail unavailable
- Approximation theory of the MLP model in neural networks→Pattern Recognition and Neural NetworksLegacy edge — source detail unavailable
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| Cognitive Science and Mapping | Computer Science |
| Fractal and DNA sequence analysis | Biochemistry, Genetics and Molecular Biology |
| Cognitive Computing and Networks | Computer Science |
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