Invention Grant
- Patent Title: Entropy-based weighting in random forest models
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Application No.: US15393825Application Date: 2016-12-29
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Publication No.: US11315045B2Publication Date: 2022-04-26
- Inventor: Yu-Lin Tsou , Shao-Wen Yang , Hong-Min Chu
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Alliance IP, LLC
- Main IPC: G06N20/20
- IPC: G06N20/20 ; G06N20/00 ; G06N5/00 ; G06N5/04

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.
Public/Granted literature
- US20180189667A1 ENTROPY-BASED WEIGHTING IN RANDOM FOREST MODELS Public/Granted day:2018-07-05
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