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Tensor Factorization for Biomedical Representation Learning
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- 1 Introduction
- 2 Joyce Ho
- 3 Representation Learning
- 4 Matrix Factorization
- 5 Singular Value Decomposition
- 6 Nonnegative Matrix Factorization
- 7 Subgroups
- 8 Natural Extension
- 9 CPT Decomposition
- 10 Data Sources
- 11 Computational Phenotypes
- 12 Representation
- 13 Time
- 14 Interpretation
- 15 Error
- 16 Repair
- 17 Summary
- 18 Motivation
- 19 Automating
- 20 Citations
- 21 bibliographic networks
- 22 graph neural networks
- 23 Tucker decomposition
- 24 Community
- 25 Community Graph
- 26 Results
- 27 Recap
- 28 Funding
- 29 Questions
- 30 Cost
- 31 Existence and Uniqueness
- 32 Theorems
- 33 Challenges
- 34 Question
