Global ETD Search

91	Some cognitively-motivated learning paradigms in Algorithmic Learning Theory Carlucci, Lorenzo. January 2006 (has links) Thesis (Ph.D.)--University of Delaware, 2006. / Principal faculty advisor: John Case, Dept. of Computer and Information Sciences. Includes bibliographical references.
92	Feature learning using state differences Kirci, Mesut. January 2010 (has links) Thesis (M.Sc.)--University of Alberta, 2010. / Title from PDF file main screen (viewed on July 8, 2010). A thesis submitted to the Faculty of Graduate Studies and Research in partial fulfillment of the requirements for the degree of Master of Science, Department of Computing Science, University of Alberta. Includes bibliographical references. Machine learning. Computer algorithms.
93	Discovering compositional structure / Harrison, Matthew T. January 2005 (has links) Thesis (Ph.D.)--Brown University, 2005. / Vita. Thesis advisor: Stuart Geman. Includes bibliographical references (leaves 7-9, 31-33, 64-68, 107-107, 131-132, 155-157, 267-268). Also available online. Learning. Machine learning.
94	Support vector machine learning for interdependent and structured output spaces / Tsochantaridis, Ioannis. January 2005 (has links) Thesis (Ph.D.)--Brown University, 2005. / Thesis advisor: Thomas Hofmann. Includes bibliographical references (leaves 85-90). Also available online.
95	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. Machine learning. Kernel functions.
96	Structured gradient boosting / Parker, Charles January 1900 (has links) Thesis (Ph. D.)--Oregon State University, 2008. / Printout. Includes bibliographical references (leaves 133-141). Also available on the World Wide Web. Machine learning. Computer algorithms.
97	Learning in spectral clustering / Shortreed, Susan, January 2006 (has links) Thesis (Ph. D.)--University of Washington, 2006. / Vita. Includes bibliographical references (p. 167-170). Cluster analysis. Machine learning
98	Anomaly Detection Through Statistics-Based Machine Learning For Computer Networks Zhu, Xuejun. January 2006 (has links) (PDF) Dissertation (PhD)--University of Arizona, Tucson, Arizona, 2006. Computer networks Machine learning.
99	Asymptotics of Gaussian Regularized Least-Squares Lippert, Ross, Rifkin, Ryan 20 October 2005 (has links) We consider regularized least-squares (RLS) with a Gaussian kernel. Weprove that if we let the Gaussian bandwidth $\sigma \rightarrow\infty$ while letting the regularization parameter $\lambda\rightarrow 0$, the RLS solution tends to a polynomial whose order iscontrolled by the relative rates of decay of $\frac{1}{\sigma^2}$ and$\lambda$: if $\lambda = \sigma^{-(2k+1)}$, then, as $\sigma \rightarrow\infty$, the RLS solution tends to the $k$th order polynomial withminimal empirical error. We illustrate the result with an example. AI machine learning regularization
100	Blog fingerprinting identifying anonymous posts written by an author of interest using word and character frequency analysis / Dreier, David J. January 2009 (has links) (PDF) Thesis (M.S. in Computer Science)--Naval Postgraduate School, September 2009. / Thesis Advisor(s): Martell, Craig H. "September 2009." Description based on title screen as viewed on November 9, 2009. Author(s) subject terms: Author Attribution, Authorship Attribution, Authorship Verification, Natural Language Processing, Machine Learning, Blogs, Bayes, Bayesian, Support Vector Machine, Internet Communication. Includes bibliographical references (p. 71-74). Also available in print. Machine learning. Blogs.

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