Learning graph based functions

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dc.contributor.advisorBshouty, Nader H.
dc.contributor.authorWilson, David Kenneth
dc.date.accessioned2005-07-28T20:11:45Z
dc.date.available2005-07-28T20:11:45Z
dc.date.issued1999
dc.descriptionBibliography: p. 144-149en
dc.format.extentxiii, 159 leaves ; 30 cm.en
dc.identifier.citationWilson, D. K. (1999). Learning graph based functions (Doctoral thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/11818en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/11818
dc.identifier.isbn061247920Xen
dc.identifier.lccQ325.7 .W548 1999en
dc.identifier.urihttp://hdl.handle.net/1880/25383
dc.language.isoeng
dc.publisher.institutionUniversity of Calgaryen
dc.publisher.placeCalgaryen
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.subject.lccQ325.7 .W548 1999en
dc.subject.lcshComputational learning theory
dc.subject.lcshMachine learning
dc.subject.lcshArtificial intelligence
dc.subject.lcshGraphic methods
dc.titleLearning graph based functions
dc.typedoctoral thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameDoctor of Philosophy (PhD)
ucalgary.item.requestcopytrue
ucalgary.thesis.accessionTheses Collection 58.002:Box 1230 520680244
ucalgary.thesis.notesUARCen
ucalgary.thesis.uarcreleaseyen
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