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Using ensemble decisions and active selection to imporve low-cost labeling for multi-view data.

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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