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Scalable kernel methods for machine learningKulis, Brian Joseph. January 1900 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.
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Learning with kernel based regularization schemes /Xiao, Quanwu. January 2009 (has links) (PDF)
Thesis (Ph.D.)--City University of Hong Kong, 2009. / "Submitted to Department of Mathematics in partial fulfillment of the requirements for the degree of Doctor of Philosophy." Includes bibliographical references (leaves [73]-81)
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Kernel-based multiple-instance learning /Cheung, Pak-Ming. January 2006 (has links)
Thesis (M.Phil.)--Hong Kong University of Science and Technology, 2006. / Includes bibliographical references (leaves 42-46). Also available in electronic version.
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Design and training of support vector machines /Shilton, Alistair. January 2006 (has links)
Thesis (Ph.D.)--University of Melbourne, Dept. of Electrical and Electronic Engineering, 2006. / Typescript. Includes bibliographical references (leaves 231-238).
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Scaling up support vector machines /Tsang, Wai-Hung. January 2007 (has links)
Thesis (Ph.D.)--Hong Kong University of Science and Technology, 2007. / Includes bibliographical references (leaves 89-96). Also available in electronic version.
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