1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.LG2023
Scalable Optimal Margin Distribution Machine
Yilin Wang, Nan Cao, Teng Zhang +2
Optimal margin Distribution Machine (ODM) is a newly proposed statistical learning framework rooting in the novel margin theory, which demonstrates better generalization performanc…
eess.SY2022★ 1 cited
IDM-Follower: A Model-Informed Deep Learning Method for Long-Sequence Car-Following Trajectory Prediction
Yilin Wang, Yiheng Feng
Model-based and learning-based methods are two major types of methodologies to model car following behaviors. Model-based methods describe the car-following behaviors with explicit…