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1. (WO2018125434) ENTROPY-BASED WEIGHTING IN RANDOM FOREST MODELS

Pub. No.:    WO/2018/125434    International Application No.:    PCT/US2017/062504
Publication Date: Fri Jul 06 01:59:59 CEST 2018 International Filing Date: Tue Nov 21 00:59:59 CET 2017
IPC: G06N 99/00
Applicants: INTEL CORPORATION
Inventors: TSOU, Yu-Lin
YANG, Shao-Wen
CHU, Hong-Min
Title: ENTROPY-BASED WEIGHTING IN RANDOM FOREST MODELS
Abstract:
A weighting value is determined for each of a plurality of decision trees in a random forest model hosted on a particular device, where the weighting is based on entropy of the respective decision tree. A new decision tree is received at the particular device and a weighting value is determined for the new decision tree based on entropy of the new decision tree. Based on the determined weighting value, it is determined whether to add the new the decision tree to the random forest model. A classification for data generated at the particular device is predicted using the random forest model.