Learning target predictive function without target labels

• Main Authors: Seah, Chun-Wei, Tsang, Ivor Wai-Hung, Ong, Yew Soon, Mao, Qi
• 其他作者: School of Computer Engineering
• 格式: Conference or Workshop Item
• 語言: English
• 出版: 2013
• 主題: DRNTU::Engineering::Computer science and engineering
• 在線閱讀: https://hdl.handle.net/10356/99133; http://hdl.handle.net/10220/13006
• 機構: 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...