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Filtering by: Committee Member Pless, Robert Committee Member Ge, Rong Author Tang, Cheng Keyword theory

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Transforming machine learning heuristics into provable algorithms: classical, stochastic, and neural

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