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dc.contributor.advisorSmith, Michael Richard
dc.contributor.authorLiu, Yuhong Kay
dc.date.accessioned2005-08-16T17:10:04Z
dc.date.available2005-08-16T17:10:04Z
dc.date.issued2005
dc.identifier.citationLiu, Y. K. (2005). Application of Efron's bootstrap methods to evaluate the performance of neural networks in the classification of mammographic features (Unpublished master's thesis). University of Calgary, Calgary, AB. doi:10.11575/PRISM/16060en_US
dc.identifier.urihttp://hdl.handle.net/1880/41738
dc.descriptionBibliography: p. 187-193.en
dc.format.extentxxiv, 193 leaves : ill. ; 30cm.en
dc.language.isoeng
dc.rightsUniversity of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.
dc.titleApplication of Efron's bootstrap methods to evaluate the performance of neural networks in the classification of mammographic features
dc.typemaster thesis
dc.publisher.institutionUniversity of Calgaryen
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/16060
thesis.degree.nameMaster of Science
thesis.degree.nameMS
thesis.degree.nameMSc
thesis.degree.disciplineElectrical and Computer Engineering
thesis.degree.grantorUniversity of Calgary
dc.publisher.placeCalgaryen
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
ucalgary.thesis.accessionTheses Collection 58.002:Box 1590 520492107


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University of Calgary graduate students retain copyright ownership and moral rights for their thesis. You may use this material in any way that is permitted by the Copyright Act or through licensing that has been assigned to the document. For uses that are not allowable under copyright legislation or licensing, you are required to seek permission.