Lie Group Machine Learning /

Lie Group Machine Learning / / Fanzhang Li, Li Zhang, Zhao Zhang.

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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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Bibliographic Details
Superior document:Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019
VerfasserIn:
Li, Fanzhang,
Zhang, Li,
Zhang, Zhao,
Place / Publishing House:Berlin ;, Boston : : De Gruyter, , [2018]
©2019
Year of Publication:2018
Language:English
Online Access:
Physical Description:1 online resource (XVI, 517 p.)
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Table of Contents:
  • Frontmatter
  • Preface
  • Contents
  • 1. Lie group machine learning model
  • 2. Lie group subspace orbit generation learning
  • 3. Symplectic group learning
  • 4. Quantum group learning
  • 5. Lie group fibre bundle learning
  • 6. Lie group covering learning
  • 7. Lie group deep structure learning
  • 8. Lie group semi–supervised learning
  • 9. Lie group kernel learning
  • 10. Tensor learning
  • 11. Frame bundle connection learning
  • 12. Spectral estimation learning
  • 13. Finsler geometric learning
  • 14. Homology boundary learning
  • 15. Category representation learning
  • 16. Neuromorphic synergy learning
  • 17. Appendix
  • Authors
  • Index

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