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An Approximative Bayes-Optimal Kernel Classifier Based on Version Space Reduction.
Karen Braga Enes
Saulo Moraes Villela
Gisele Lobo Pappa
Raul Fonseca Neto
Published in:
ICMLA (2018)
Keyphrases
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space reduction
optimal kernel
feature space
kernel function
principal component analysis
kernel matrices
decision trees
support vector
linear combination
kernel learning
feature extraction
multiple kernel
high dimensional
active learning
kernel methods