2 papers
cs.LG2021
Support vector machines and linear regression coincide with very high-dimensional features
Navid Ardeshir, Clayton Sanford, Daniel Hsu
The support vector machine (SVM) and minimum Euclidean norm least squares regression are two fundamentally different approaches to fitting linear models, but they have recently bee…
cond-mat.mtrl-sci2019
Using a machine learning approach to determine the space group of a structure from the atomic pair distribution function (PDF)
Chia-Hao Liu, Yunzhe Tao, Daniel Hsu +2
We present a method for predicting the space group of a structure given a calculated or measured atomic pair distribution function (PDF) from that structure. The method utilizes ma…