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dc.rights.licenseUsers may download and share copies with attribution in accordance with a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. No commercial use or derivatives are permitted without the explicit approval of the author.
dc.contributorDas, Sanmay
dc.contributorMagdon-Ismail, Malik
dc.contributorZaki, Mohammed J., 1971-
dc.contributor.authorGaston, Jeffry
dc.date.accessioned2021-11-03T10:29:20Z
dc.date.available2021-11-03T10:29:20Z
dc.date.created2012-09-28T15:53:28Z
dc.date.issued2012-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/3590
dc.descriptionMay 2012
dc.descriptionSchool of Science
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectComputer science
dc.titleActive learning of Gaussian mixture models using direct estimation of error reduction
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid35196
dc.digitool.pid35197
dc.digitool.pid35199
dc.digitool.pid35198
dc.digitool.pid35200
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Computer Science


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