On learning large output domain decision trees

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dc.contributor.advisorBshouty, Nader H.
dc.contributor.authorWilson, David Kenneth
dc.date.accessioned2005-07-29T22:08:23Z
dc.date.available2005-07-29T22:08:23Z
dc.date.issued1995
dc.descriptionBibliography: p. 80-81.en
dc.format.extentviii, 81 leaves : ill. ; 30 cm.en
dc.identifier.citationWilson, D. K. (1995). On learning large output domain decision trees (Master's thesis, University of Calgary, Calgary, Canada). Retrieved from https://prism.ucalgary.ca. doi:10.11575/PRISM/16068en_US
dc.identifier.doihttp://dx.doi.org/10.11575/PRISM/16068
dc.identifier.isbn0612043339en
dc.identifier.lccQ 325.7 W55 1995en
dc.identifier.urihttp://hdl.handle.net/1880/29756
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.lccQ 325.7 W55 1995en
dc.subject.lcshMachine learning
dc.subject.lcshDecision trees
dc.subject.lcshArtificial intelligence
dc.subject.lcshComputational learning theory
dc.titleOn learning large output domain decision trees
dc.typemaster thesis
thesis.degree.disciplineComputer Science
thesis.degree.grantorUniversity of Calgary
thesis.degree.nameMaster of Science (MSc)
ucalgary.thesis.accessionTheses Collection 58.002:Box 1010 520538320
ucalgary.thesis.notesoffsiteen
ucalgary.thesis.uarcreleaseyen
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