1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Bombay
  3. Industrial Engineering and Operations Research
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/485667
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DC FieldValueLanguage
dc.coverage.spatialIndustrial Engineering and Operations Research
dc.date.accessioned2023-05-26T06:00:09Z-
dc.date.available2023-05-26T06:00:09Z-
dc.identifier.urihttp://hdl.handle.net/10603/485667-
dc.description.abstractAbstract attached newline newline
dc.format.extentNA
dc.languageEnglish
dc.relationNA
dc.rightsuniversity
dc.titleLabel noise robustness and feature subset selection in classification discriminative and generative approaches
dc.title.alternativeNa
dc.creator.researcherTripathi, Sandhya
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Industrial
dc.description.noteNA
dc.contributor.guideHemachandra, N.
dc.publisher.placeMumbai
dc.publisher.universityIndian Institute of Technology Bombay
dc.publisher.institutionIndustrial Engineering and Operations Research
dc.date.registered2012
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensionsNA
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Industrial Engineering and Operations Research

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File90.79 kBAdobe PDFView/Open
02_prelimpages.pdf164.91 kBAdobe PDFView/Open
03_abstract.pdf168.6 kBAdobe PDFView/Open
04_contents.pdf278.02 kBAdobe PDFView/Open
05_chapter_1.pdf372.13 kBAdobe PDFView/Open
06_chapter_2.pdf514.58 kBAdobe PDFView/Open
07_chapter_3.pdf1.28 MBAdobe PDFView/Open
08_chapter_4.pdf412.85 kBAdobe PDFView/Open
09_chapter_5.pdf749.43 kBAdobe PDFView/Open
10_appendix.pdf1.56 MBAdobe PDFView/Open
80_recommendation.pdf153.29 kBAdobe PDFView/Open
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