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Active learning of Gaussian mixture models using direct estimation of error reduction

dc.rights.licenseCC BY-NC-ND. Users 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.rightsAttribution-NonCommercial-NoDerivs 3.0 United States*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/us/*
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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CC BY-NC-ND. Users 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.
Except where otherwise noted, this item's license is described as CC BY-NC-ND. Users 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.