Multi-source transfer learning of time series in cyclical manufacturing
Volume: 31, Issue: 3, Pages: 777 - 787
Published: Oct 19, 2019
Abstract
This paper describes a new transfer learning method for modeling sensor time series following multiple different distributions, e.g. originating from multiple different tool settings. The method aims at removing distribution specific information before the modeling of the individual time series takes place. This is done by mapping the data to a new space such that the representations of different distributions are aligned. Domain knowledge is...
Paper Details
Title
Multi-source transfer learning of time series in cyclical manufacturing
Published Date
Oct 19, 2019
Volume
31
Issue
3
Pages
777 - 787
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