Unbiased Loss Functions for Multilabel Classification with Missing Labels.
Erik SchultheisRohit BabbarPublished in: CoRR (2021)
Keyphrases
- multilabel classification
- loss function
- logistic regression
- multi label
- instance based learning
- pairwise
- support vector
- lazy learning
- ensemble methods
- learning to rank
- text categorization
- reproducing kernel hilbert space
- nearest neighbor
- loss minimization
- multi label classification
- risk minimization
- convex loss functions
- image classification
- prediction accuracy
- multiple labels
- binary classification
- rule induction
- graph cuts
- higher order
- knn
- feature extraction
- learning algorithm
- data mining