Invention Grant
- Patent Title: Poisson distribution based approach for bootstrap aggregation in a random forest
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Application No.: US16716018Application Date: 2019-12-16
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Publication No.: US11704601B2Publication Date: 2023-07-18
- Inventor: Mikhail Averbukh , Mohammad R. Haghighat
- Applicant: Intel Corporation
- Applicant Address: US CA Santa Clara
- Assignee: Intel Corporation
- Current Assignee: Intel Corporation
- Current Assignee Address: US CA Santa Clara
- Agency: Jordan IP Law, LLC
- Main IPC: G06N20/20
- IPC: G06N20/20 ; G06F17/18 ; G06F18/214 ; G06F18/243 ; G06N5/01
Abstract:
Systems, apparatuses and methods may provide for technology that generates inclusion data in accordance with a Poisson distribution, wherein the inclusion data specifies a number of inclusions for each observation in a set of observations. The technology may also train a first decision tree in a random forest based at least in part on the inclusion data.
Information query
