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

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dc.contributor.author Rebbapragada, Umaa
dc.contributor.author Wagstaff, Kiri
dc.date.accessioned 2013-10-17T21:12:27Z
dc.date.available 2013-10-17T21:12:27Z
dc.date.issued 2011-07-02
dc.identifier.citation ICML 2011 Workshop on Machine Learning for Global Challenges, Bellevue, Washington, July 2, 2011. en_US
dc.identifier.clearanceno 11-2514
dc.identifier.uri http://hdl.handle.net/2014/43903
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2011. en_US
dc.subject machine learning en_US
dc.subject multi-view learning en_US
dc.subject co-training en_US
dc.subject sensor networks en_US
dc.title Using ensemble decisions and active selection to imporve low-cost labeling for multi-view data. en_US
dc.type Presentation en_US


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