Lie group machine learning
This book explains deep learning concepts and derives semi-supervised learning and nuclear learning frameworks based on cognition mechanism and Lie group theory. Lie group machine learning is a theoretical basis for brain intelligence, Neuromorphic learning (NL), advanced machine learning, and advan...
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| Otros Autores: | , |
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Berlin ; Boston :
Walter de Gruyter, GmbH
2018.
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| Colección: | EBSCO Academic eBook Collection Complete.
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| Acceso en línea: | Conectar con la versión electrónica |
| Ver en Universidad de Navarra: | https://innopac.unav.es/record=b47421010*spi |
Tabla de Contenidos:
- Lie group machine learning model
- Lie group subspace orbit generation learning
- Symplectic group learning
- Quantum group learning
- Lie group fibre bundle learning
- Lie group covering learning
- Lie group deep structure learning
- Lie group semi-supervised learning
- Lie group kernel learning
- Tensor learning
- Frame bundle connection learning
- Spectral estimation learning
- Finsler geometric learning
- Homology boundary learning
- Category representation learning
- Neuromorphic synergy learning.
