Priority sampling

Wave-making resistance estimation through deep learning considering the distribution of ship figure

A method for the estimation of wave-making resistance from the hull form and Froude number through deep learning is proposed. At the same time, this research also gives a solution when the data are skewed, which solves the problem of low …

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