Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis

Institute for Pure & Applied Mathematics (IPAM) via YouTube Direct link

Difficulty of Training

8 of 16

8 of 16

Difficulty of Training

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Classroom Contents

Multiresolution Tensor Learning for Efficient and Interpretable Spatial Analysis

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  1. 1 Intro
  2. 2 Modeling Basketball Play
  3. 3 Technical Challenges
  4. 4 Tensor Methods
  5. 5 Example: Profile Player Shots
  6. 6 Tensor Latent Factor Model
  7. 7 Example: Precipitation Forecast
  8. 8 Difficulty of Training
  9. 9 Multi-Resolution Learning
  10. 10 Rate of Convergence
  11. 11 Computational Complexity
  12. 12 Efficiency: MRTL is Fast
  13. 13 Sensitivity to fine-graining criteria
  14. 14 Interpretability: basketbacll
  15. 15 Interpretability: climate
  16. 16 Conclusion

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