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An adaptive hp-refinement strategy with computable guaranteed bound on the error reduction factor.
Patrik Daniel
Alexandre Ern
Iain Smears
Martin Vohralík
Published in:
Comput. Math. Appl. (2018)
Keyphrases
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data mining
error reduction
upper bound
iterative learning
classification error
semi supervised
lower bound
classification accuracy
significant improvement
feature selection
worst case
support vector
pairwise
learning process
support vector machine