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Published in 2018 at "Neurocomputing"
DOI: 10.1016/j.neucom.2018.10.087
Abstract: Abstract Support Vector Machines (SVMs) are a state-of-the-art and powerful learning algorithm that can effectively solve many real world problems. SVMs are the transposition of the Vapnik–Chervonenkis (VC) theory into a learning algorithm. In this…
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Keywords:
rademacher complexity;
complexity machine;
learning algorithm;
local rademacher ... See more keywords