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cs.LG2022★ 5 cited
Variational Autoencoder Kernel Interpretation and Selection for Classification
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias +1
This work proposed kernel selection approaches for probabilistic classifiers based on features produced by the convolutional encoder of a variational autoencoder. Particularly, the…
cs.LG2022★ 1 cited
ProBoost: a Boosting Method for Probabilistic Classifiers
Fábio Mendonça, Sheikh Shanawaz Mostafa, Fernando Morgado-Dias +2
ProBoost, a new boosting algorithm for probabilistic classifiers, is proposed in this work. This algorithm uses the epistemic uncertainty of each training sample to determine the m…