Continual learning in slowly-varying environments
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United States of America Patent
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Sep 22, 2020
Grant Date -
Apr 13, 2017
app pub date -
Oct 11, 2016
filing date -
Oct 8, 2015
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Abstract
An approach for continual learning in slowly-varying environments is provided. The approach receives one or more action requests from a decision agent. The approach deploys a first model to a decision engine. The approach initiates an observation period. The approach builds a second model, in which the second model comprises collected transaction data from the observation period. The approach initiates a test period. The approach determines a performance score for the first model and a performance score for the second model. The approach selects the model providing an optimized action.
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