Invention Grant
- Patent Title: Space efficient random decision forest models implementation utilizing automata processors
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Application No.: US15214188Application Date: 2016-07-19
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Publication No.: US10699213B2Publication Date: 2020-06-30
- Inventor: Yao Fu , Paul Glendenning , Tommy Tracy, II , Eric Jonas
- Applicant: Micron Technology, Inc.
- Applicant Address: US ID Boise
- Assignee: Micron Technology, Inc.
- Current Assignee: Micron Technology, Inc.
- Current Assignee Address: US ID Boise
- Agency: Fletcher Yoder, P.C.
- Main IPC: G06N20/00
- IPC: G06N20/00 ; G06N5/00

Abstract:
An apparatus includes a processing resource configured to receive a feature vector of a data stream. The feature vector includes a set of feature values. The processing resource is further configured to calculate a set of feature labels based at least in part on the set of feature values to generate a label vector, provide the label vector to another processing resource, and to receive a plurality of classifications corresponding to each feature label of the label vector from the other processing resource. The plurality of classifications are generated based at least in part on a respective range of feature values of the set of feature values. The processing resource is configured to then combine the plurality of classifications to generate a final classification of the data stream.
Public/Granted literature
- US20170255878A1 SPACE EFFICIENT RANDOM FORESTS IMPLEMENTATION UTILIZING AUTOMATA PROCESSORS Public/Granted day:2017-09-07
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