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» Cross-domain transfer for reinforcement learning
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AAAI
2006
13 years 7 months ago
Cross-Domain Knowledge Transfer Using Structured Representations
Previous work in knowledge transfer in machine learning has been restricted to tasks in a single domain. However, evidence from psychology and neuroscience suggests that humans ar...
Samarth Swarup, Sylvian R. Ray
IR
2010
13 years 4 months ago
Knowledge transfer for cross domain learning to rank
Depin Chen, Yan Xiong, Jun Yan, Gui-Rong Xue, Gang...
AIPS
2011
12 years 9 months ago
Cross-Domain Action-Model Acquisition for Planning via Web Search
Applying learning techniques to acquire action models is an area of intense research interest. Most previous works in this area have assumed that there is a significant amount of...
Hankz Hankui Zhuo, Qiang Yang, Rong Pan, Lei Li
KDD
2009
ACM
230views Data Mining» more  KDD 2009»
14 years 6 months ago
Cross domain distribution adaptation via kernel mapping
When labeled examples are limited and difficult to obtain, transfer learning employs knowledge from a source domain to improve learning accuracy in the target domain. However, the...
ErHeng Zhong, Wei Fan, Jing Peng, Kun Zhang, Jiang...
CIKM
2009
Springer
13 years 10 months ago
Heterogeneous cross domain ranking in latent space
Traditional ranking mainly focuses on one type of data source, and effective modeling still relies on a sufficiently large number of labeled or supervised examples. However, in m...
Bo Wang, Jie Tang, Wei Fan, Songcan Chen, Zi Yang,...