Robust Logistic Regression against Attribute and Label Outliers via Information Theoretic Learning.
Yuanhao LiBadong ChenNatsue YoshimuraYasuharu KoikePublished in: CoRR (2019)
Keyphrases
- information theoretic
- logistic regression
- mutual information
- information bottleneck
- information theory
- learning algorithm
- unsupervised learning
- support vector
- decision trees
- theoretic framework
- prior knowledge
- naive bayes
- logistic regression models
- multilabel classification
- active learning
- classification accuracy
- training set
- image processing
- data sets