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ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
13 years 11 months ago
Automatic weight learning for multiple data sources when learning from demonstration
— Traditional approaches to programming robots are generally inaccessible to non-robotics-experts. A promising exception is the Learning from Demonstration paradigm. Here a polic...
Brenna Argall, Brett Browning, Manuela M. Veloso
AII
1992
13 years 9 months ago
Learning from Multiple Sources of Inaccurate Data
Most theoretical models of inductive inference make the idealized assumption that the data available to a learner is from a single and accurate source. The subject of inaccuracies ...
Ganesh Baliga, Sanjay Jain, Arun Sharma
ICML
2009
IEEE
14 years 5 months ago
Domain adaptation from multiple sources via auxiliary classifiers
We propose a multiple source domain adaptation method, referred to as Domain Adaptation Machine (DAM), to learn a robust decision function (referred to as target classifier) for l...
Lixin Duan, Ivor W. Tsang, Dong Xu, Tat-Seng Chua
CIKM
2008
Springer
13 years 6 months ago
Transfer learning from multiple source domains via consensus regularization
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Ping Luo, Fuzhen Zhuang, Hui Xiong, Yuhong Xiong, ...
ATAL
2004
Springer
13 years 10 months ago
Learning from Multiple Sources
Luís Nunes, Eugénio C. Oliveira