Skip to Content
Find More Like This
Return to Search

PARAMETER-DEPENDENT MODEL-BLENDING WITH MULTI-EXPERT BASED MACHINE LEARNING AND PROXY SITES

United States Patent Application

20170017895
A1
View the Complete Application at the US Patent & Trademark Office
A parameter-based multi-model blending method and system are described. The method includes selecting a parameter of interest among parameters estimated by each of a set of individual models, running the set of individual models with a range of inputs to obtain a range of estimates of the parameters from each of the set of individual models, and identifying, for each of the set of individual models, critical parameters among the parameters estimated, the critical parameters exhibiting a specified correlation with an error in estimation of the parameter of interest. For each subspace of combinations of the critical parameters, obtaining a parameter-based blended model is based on blending the set of individual models in accordance with the subspace of the critical parameters, the subspace defining a sub-range for each of the critical parameters.
Hamann, Hendrik F. (Yorktown Heights, NY), Hwang, Youngdeok (White Plains, NY), Klein, Levente (Tuckahoe, NY), Lenchner, Jonathan (North Salem, NY), Lu, Siyuan (Yorktown Heights, NY), Marianno, Fernando J. (New York, NY), Tesauro, Gerald J. (Croton-on-Hudson, NY), van Kessel, Theodore G. (Millbrook, NY)
14/ 798,824
July 14, 2015
STATEMENT REGARDING FEDERALLY SPONSORED RESEARCH OR DEVELOPMENT [0002] This invention was made with Government support under DE-EE0006017 awarded by Department of Energy. The Government has certain rights to this invention.