Spelling suggestions: "subject:"cachine learning beural networks"" "subject:"cachine learning aneural networks""
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Modular on-line function approximation for scaling up reinforcement learningTham, Chen Khong January 1994 (has links)
No description available.
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Design, implementation and applications of the Support Vector method and learning algorithmStitson, Mark Oliver January 1999 (has links)
No description available.
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Object-oriented analysis and design of computational intelligence systemsChe, Fidelis Ndeh January 1996 (has links)
No description available.
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A supra-classifier framework for knowledge reuse /Bollacker, Kurt Dewitt. January 1998 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 1998. / Vita. Includes bibliographical references (leaves 136-147). Available also in a digital version from Dissertation Abstracts.
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Biologically inspired visual models by sparse and unsupervised learning : a dissertation /Yang, Li. January 2007 (has links)
Thesis (Ph.D.) OGI School of Science & Engineering at OHSU, January 2007. / Abstract: leaves xiii-xiv. Includes bibliographical references (leaves 137-153).
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Approximation methods for efficient learning of Bayesian networks /Riggelsen, Carsten. January 1900 (has links)
Thesis (Ph.D.)--Utrecht University, 2006. / Includes bibliographical references (p. [133]-137).
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Approximation methods for efficient learning of Bayesian networksRiggelsen, Carsten. January 1900 (has links)
Thesis (Ph.D.)--Utrecht University, 2006. / Includes bibliographical references (p. [133]-137).
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Modular learning through output space decomposition /Kumar, Shailesh, January 2000 (has links)
Thesis (Ph. D.)--University of Texas at Austin, 2000. / Vita. Includes bibliographical references (leaves 196-213). Available also in a digital version from Dissertation Abstracts.
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Improving machine learning through oracle learning /Menke, Joshua E. January 2007 (has links) (PDF)
Thesis (Ph. D.)--Brigham Young University. Dept. of Computer Science, 2007. / Includes bibliographical references (p. 203-209).
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Approximation methods for efficient learning of Bayesian networks /Riggelsen, Carsten. January 2008 (has links)
Univ., Diss.--Utrecht.
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