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Everything old is new again : a fresh look at historical approaches in machine learning
(Massachusetts Institute of Technology, 2002)
This thesis shows that several old, somewhat discredited machine learning techniques are still valuable in the solution of modern, large-scale machine learning problems. We begin by considering Tikhonov regularization, a ...