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ICRA
2009
IEEE
179views Robotics» more  ICRA 2009»
14 years 4 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
14 years 1 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 10 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 11 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
14 years 3 months ago
Learning from Multiple Sources
Luís Nunes, Eugénio C. Oliveira