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Using ensemble decisions and active selection to imporve low-cost labeling for multi-view data.
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Using ensemble decisions and active selection to imporve low-cost labeling for multi-view data.
Rebbapragada, Umaa
;
Wagstaff, Kiri
URI:
http://hdl.handle.net/2014/43903
Date:
2011-07-02
Keywords:
machine learning; multi-view learning; co-training; sensor networks
Publisher:
Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011.
Citation:
ICML 2011 Workshop on Machine Learning for Global Challenges, Bellevue, Washington, July 2, 2011.
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JPL TRS 1992+
JPL TRS 1992+
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