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Support vector machines

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dc.contributor.author Garay, Michael J.
dc.contributor.author Mazzoni, Dominic
dc.contributor.author Davies, Roger
dc.contributor.author Wagstaff, Kiri
dc.date.accessioned 2006-01-27T18:28:16Z
dc.date.available 2006-01-27T18:28:16Z
dc.date.issued 2004
dc.identifier.clearanceno 04-1109
dc.identifier.uri http://hdl.handle.net/2014/38394
dc.description.abstract Support Vector Machines (SVMs) are a type of supervised learning algorith,, other examples of which are Artificial Neural Networks (ANNs), Decision Trees, and Naive Bayesian Classifiers. Supervised learning algorithms are used to classify objects labled by a "supervisor" - typically a human "expert." en
dc.description.sponsorship NASA/JPL en
dc.format.extent 1564129 bytes
dc.format.mimetype application/pdf
dc.language.iso en_US en
dc.publisher Pasadena, CA : Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2004 en
dc.subject multiangle en
dc.subject remote sensing en
dc.subject cirrus en
dc.subject clouds en
dc.subject support vector machines en
dc.subject Multi-angle Imaging SpectroRadiomenter (MISR) en
dc.title Support vector machines en
dc.type Presentation en


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