Combating Negative Transfer From Predictive Distribution Differences

Combating Negative Transfer From Predictive Distribution Differences

Domain adaptation (DA), which leverages labeled data from related source domains, comes in handy when the label information of the target domain is scarce or unavailable. However, as the source data do not come from the same origin as that of the target domain, the predictive distributions of the so...

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Bibliographic Details
Main Authors: Seah, Chun-Wei, Ong, Yew-Soon, Tsang, Ivor W.
Other Authors: School of Computer Engineering
Format: Journal Article
Language:English
Published: 2016
Subjects:
Domain adaptation (DA); logistic regression (LR); negative transfer; predictive distribution matching (PDM); support vector machines (SVMs)
Online Access:https://hdl.handle.net/10356/81712
http://hdl.handle.net/10220/39657

Internet

https://hdl.handle.net/10356/81712
http://hdl.handle.net/10220/39657

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