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dc.contributor.advisorPeter Dayan.en_US
dc.contributor.authorDraper, Stark Christiaanen_US
dc.date.accessioned2007-08-29T20:59:04Z
dc.date.available2007-08-29T20:59:04Z
dc.date.copyright1996en_US
dc.date.issued1996en_US
dc.identifier.urihttp://hdl.handle.net/1721.1/38825
dc.descriptionThesis (M.S.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1996.en_US
dc.descriptionIncludes bibliographical references (p. 97-99).en_US
dc.description.statementofresponsibilityby Stark Christiaan Draper.en_US
dc.format.extent99 p.en_US
dc.language.isoengen_US
dc.publisherMassachusetts Institute of Technologyen_US
dc.rightsM.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission.en_US
dc.rights.urihttp://dspace.mit.edu/handle/1721.1/7582
dc.subjectElectrical Engineering and Computer Scienceen_US
dc.titleLearning augmented recursive estimation for unceratin non-linear dynamic systemsen_US
dc.typeThesisen_US
dc.description.degreeM.S.en_US
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.identifier.oclc35968539en_US


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