no code implementations • 4 Dec 2017 • Matthew Kupilik, Frank Witmer, Euan-Angus MacLeod, Caixia Wang, Tom Ravens
Gaussian process regression is a data-driven modeling methodology capable of extracting patterns and trends from data-sparse environments such as remote Arctic coastlines.
no code implementations • 27 Sep 2016 • Lantian Li, Renyu Wang, Gang Wang, Caixia Wang, Thomas Fang Zheng
In this paper, we propose a decision making approach based on multiple scores derived from a set of cohort GMMs (cohort scores).