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Filtering by: Author Tang, Cheng GW Unit Computer Science Keyword theory Type of Work Thesis or Dissertation

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Description:: A recurring pattern in many areas of machine learning is the empirical success of a handful of “heuristics”, that is, any simple learning procedure favored by practitioners. Many of these heuristic techniques lack formal theoretical justification. For unsupervised learning, Lloyd's k-means...
Author:: Tang, Cheng
Keyword:: machine learning and theory
GW Unit:: Computer Science
Degree:: Ph.D.
Advisor:: Monteleoni, Claire
Committee Member(s):: Diab, Mona, Sculley, D., Pless, Robert, and Ge, Rong
Resource Type:: Thesis or Dissertation

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