Dimension Reduction Approach for Interpretability of Sequence to Sequence Recurrent Neural Networks.
Kun SuEli ShlizermanPublished in: CoRR (2019)
Keyphrases
- dimension reduction
- recurrent neural networks
- knowledge discovery
- principal component analysis
- least squares
- qr decomposition
- high dimensional problems
- random projections
- unsupervised learning
- low dimensional
- data sets
- active learning
- similarity measure
- image processing
- feature selection
- computer vision
- data mining
- neural network