IEEE

Feature Selection Using Batch-Wise Attenuation and Feature Mask Normalization

Abstract: Feature selection is generally used as one of the most important preprocessing techniques in machine learning, as it helps to reduce the dimensionality of data and assists researchers and ...
C&EN

Significance of the Chemical Environment of an Element in Nonadiabatic Molecular Dynamics: Feature Selection and Dimensionality Reduction with Machine Learning

Department of Chemical Engineering, University of Southern California, Los Angeles, California 90089, United States Department of Chemistry, University of Southern California, Los Angeles, California ...
IEEE

Adaptive Participant Selection in Heterogeneous Federated Learning

Abstract: Federated learning (FL) is a distributed machine learning technique to address the data privacy issue. Participant selection is critical to determine the latency of the training process in a ...