Invention Grant
- Patent Title: Active machine learning
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Application No.: US14562747Application Date: 2014-12-07
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Publication No.: US10262272B2Publication Date: 2019-04-16
- Inventor: David Maxwell Chickering , Christopher A. Meek , Patrice Y. Simard , Rishabh Krishnan Iyer
- Applicant: Microsoft Technology Licensing, LLC
- Applicant Address: US WA Redmond
- Assignee: Microsoft Technology Licensing, LLC
- Current Assignee: Microsoft Technology Licensing, LLC
- Current Assignee Address: US WA Redmond
- Agency: Schwegman Lundberg & Woessner, P.A.
- Main IPC: G06N20/00
- IPC: G06N20/00

Abstract:
Technologies are described herein for active machine learning. An active machine learning method can include initiating active machine learning through an active machine learning system configured to train an auxiliary machine learning model to produce at least one new labeled observation, refining a capacity of a target machine learning model based on the active machine learning, and retraining the auxiliary machine learning model with the at least one new labeled observation subsequent to refining the capacity of the target machine learning model. Additionally, the target machine learning model is a limited-capacity machine learning model according to the description provided herein.
Public/Granted literature
- US20160162802A1 Active Machine Learning Public/Granted day:2016-06-09
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