Proximal boosting: Aggregating weak learners to minimize non-differentiable losses.

Erwan Fouillen Claire Boyer Maxime Sangnier

Published in: Neurocomputing (2023)

Keyphrases

weak learners
ensemble learning
boosting algorithms
loss function
multi class classification
linear classifiers
weak classifiers
adaboost algorithm
objective function
generalization error
multi class
pairwise
binary classification problems
prediction accuracy
machine learning methods
cost sensitive