mql5
Deep Neural Networks (Part III). Sample selection and dimensionality reduction
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, 10-04-2017 at 04:36 PM (715 Views)
Contents
- Introduction
- 1. Sample selection
- 2. Dimensionality reduction
- 2.1. Principal component analysis (PCA)
- 2.2. Independent component analysis (ICA)
- 2.3. Probabilistic principal component analysis (PPCA)
- 2.4. Autoencoder (nonlinear PCA)
- 2.5. Inverse nonlinear PCA (NLPCA)
- 3. Dividing the data set into the train/valid/test sets
- Conclusion
- Application
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