Learning target predictive function without target labels

• المؤلفون الرئيسيون: Seah, Chun-Wei, Tsang, Ivor Wai-Hung, Ong, Yew Soon, Mao, Qi
• مؤلفون آخرون: School of Computer Engineering
• التنسيق: Conference or Workshop Item
• اللغة: English
• منشور في: 2013
• الموضوعات: DRNTU::Engineering::Computer science and engineering
• الوصول للمادة أونلاين: https://hdl.handle.net/10356/99133; http://hdl.handle.net/10220/13006

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...