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Testing significance of each factor on held-out data
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Classroom Contents
Unsupervised Discovery of Temporal Sequences in High-Dimensional Datasets
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- 1 Intro
- 2 Neurons form sequences
- 3 Non-negative matrix factorization (NMF)
- 4 In practice ... redundant factors
- 5 Simple multiplicative update rules
- 6 Testing seqNMF on simulated sequences
- 7 SeqNMF factorizations are highly consistent
- 8 Testing significance of each factor on held-out data
- 9 Method to choose lambda
- 10 Cross-validation procedure for NMF
- 11 Cross-validation procedure for convolutional NMF
