Robust Loss Functions for Training Decision Trees with Noisy Labels.
Jonathan WiltonNan YePublished in: AAAI (2024)
Keyphrases
- loss function
- decision trees
- pairwise
- partially labeled data
- training set
- logistic regression
- label noise
- loss minimization
- squared error
- learning to rank
- support vector
- risk minimization
- training data
- convex loss functions
- training examples
- supervised learning
- naive bayes
- reproducing kernel hilbert space
- training samples
- update rules
- semi supervised
- support vector machine
- feature space
- class labels
- ensemble methods
- training algorithm
- boosting algorithms
- hinge loss
- active learning