A Source Domain Extension Method for Inductive Transfer Learning Based on Flipping Output
Transfer learning aims for high accuracy by applying knowledge of source domains for which data collection is easy in order to target domains where data collection is difficult, and has attracted attention in recent years because of its significant potential to enable the application of machine lear...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-05-01
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Series: | Algorithms |
Subjects: | |
Online Access: | https://www.mdpi.com/1999-4893/12/5/95 |