Abstract: In environments rich in data, machine learning models often encounter challenges such as data sparsity and overfitting, primarily due to datasets with an excessive number of features. To ...
Abstract: This article presents a discussion on data selection for deep learning in the field of seismic interpretation. To enable robust generalization, the training set must contain informative ...
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