1 citations · 1 across the 3 of their papers we have counts for
4 papers
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…
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,…
Robust Brain MRI Image Classification with SIBOW-SVM
Liyun Zeng, Hao Helen Zhang
The majority of primary Central Nervous System (CNS) tumors in the brain are among the most aggressive diseases affecting humans. Early detection of brain tumor types, whether beni…
Spatial Process Approximations: Assessing Their Necessity
Hao Zhang
In spatial statistics and machine learning, the kernel matrix plays a pivotal role in prediction, classification, and maximum likelihood estimation. A thorough examination reveals…