A review of NP-Completeness and poly-time reductions; an introduction to randomized algorithms and the randomized complexity classes PP, RP, and BPP; an introduction to approximation algorithms for ...
Kernel methods are a class of machine learning algorithms which learn and discover patterns in a high (possibly infinite) dimensional feature space obtained by often nonlinear, possibly infinite ...
James Anderson, assistant professor of electrical engineering, has received a National Science Foundation (NSF) CAREER award for his work on developing randomized algorithms for the analysis and ...
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