2 papers
stat.ME2026
Sparse Learning and Class Probability Estimation with Weighted Support Vector Machines
Liyun Zeng, Hao Helen Zhang
Classification and probability estimation are fundamental tasks with broad applications across modern machine learning and data science, spanning fields such as biology, medicine,…
cs.LG2024
Gaussian Process Model with Tensorial Inputs and Its Application to the Design of 3D Printed Antennas
Xi Chen, Yashika Sharma, Hao Helen Zhang +2
In simulation-based engineering design with time-consuming simulators, Gaussian process (GP) models are widely used as fast emulators to speed up the design optimization process. I…