Unbiased Loss Functions for Extreme Classification With Missing Labels.
Erik SchultheisMohammadreza QaraeiPriyanshu GuptaRohit BabbarPublished in: CoRR (2020)
Keyphrases
- loss function
- partially labeled data
- support vector
- pairwise
- hinge loss
- class labels
- learning to rank
- classification accuracy
- kernel classifiers
- feature extraction
- logistic regression
- support vector machine
- semi supervised
- machine learning
- loss minimization
- decision trees
- learning algorithm
- update rules
- bayes rule
- training set
- risk minimization
- decision boundary
- squared error
- machine learning algorithms
- training data
- reproducing kernel hilbert space
- binary classification
- generalization ability
- multi label
- feature vectors
- training samples
- text classification
- multi class