Exploring Preferential Label Smoothing for Neural Network-based Classifiers.
Paritosh GoyalChenyang HuangAmine TrabelsiOsmar ZaïanePublished in: Canadian AI (2023)
Keyphrases
- class labels
- training data
- neural network
- decision trees
- multi label classification
- multi label
- support vector
- image labeling
- feature set
- smoothing algorithm
- classification models
- feature selection
- machine learning algorithms
- naive bayes
- linear classifiers
- smoothing methods
- training set
- classification algorithm
- training examples
- ensemble learning
- classification systems
- decision boundary
- markov random field
- multiple classifiers
- class membership
- feature vectors