Learning target predictive function without target labels

• Main Authors: Seah, Chun-Wei, Tsang, Ivor Wai-Hung, Ong, Yew Soon, Mao, Qi
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Subjects: DRNTU::Engineering::Computer science and engineering
• Online Access: https://hdl.handle.net/10356/99133; http://hdl.handle.net/10220/13006
• Institution: Nanyang Technological University

In the absence of the labeled samples in a domain referred to as target domain, Domain Adaptation (DA) techniques come in handy. Generally, DA techniques assume there are available source domains that share similar predictive function with the target domain. Two core challenges of DA typically arise...