An Improved Auto-encoder Based on 2-Level Prioritized Experience Replay for High Dimension Skewed Data

Auto-encoder as the representative method for data dimensionality reduction and feature extraction, plays a very important role on machine learning. However, the data in the actual research work or industrial production are not always normalized …

Prioritized Sampling Method for Autoencoder to Reduce Loss Rate for Skewed Data

A Research About Anomaly Detection Method for Multidimensional Time Series Data