Application of Efron's bootstrap methods to evaluate the performance of neural networks in the classification of mammographic features
dc.contributor.advisor | Smith, Michael Richard | |
dc.contributor.author | Liu, Yuhong Kay | |
dc.date.accessioned | 2005-08-16T17:10:04Z | |
dc.date.available | 2005-08-16T17:10:04Z | |
dc.date.issued | 2005 | |
dc.description | Bibliography: p. 187-193. | en |
dc.format.extent | xxiv, 193 leaves : ill. ; 30cm. | en |
dc.identifier.citation | Liu, Y. K. (2005). Application of Efron's bootstrap methods to evaluate the performance of neural networks in the classification of mammographic features (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/16060 | en_US |
dc.identifier.doi | http://dx.doi.org/10.11575/PRISM/16060 | |
dc.identifier.uri | http://hdl.handle.net/1880/41738 | |
dc.language.iso | eng | |
dc.publisher.institution | University of Calgary | en |
dc.publisher.place | Calgary | en |
dc.rights | 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. | |
dc.title | Application of Efron's bootstrap methods to evaluate the performance of neural networks in the classification of mammographic features | |
dc.type | master thesis | |
thesis.degree.discipline | Electrical and Computer Engineering | |
thesis.degree.grantor | University of Calgary | |
thesis.degree.name | Master of Science (MSc) | |
ucalgary.thesis.accession | Theses Collection 58.002:Box 1590 520492107 | |
ucalgary.thesis.notes | UARC | en |
ucalgary.thesis.uarcrelease | y | en |
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