Bias-Reduced Uncertainty Estimation for Deep Neural Classifiers.
Yonatan GeifmanGuy UzielRan El-YanivPublished in: ICLR (Poster) (2019)
Keyphrases
- training data
- network architecture
- support vector
- decision trees
- neural classifier
- neural network
- bias variance decomposition
- feature set
- measurement error
- linear classifiers
- class labels
- svm classifier
- conditional probabilities
- estimation algorithm
- feature selection
- decision theory
- classification models
- machine learning algorithms
- uncertain data
- classification algorithm
- supervised classification
- bio inspired
- test set
- nearest neighbour
- binary classifiers
- naive bayes classifier
- estimation accuracy
- neural model
- naive bayes
- support vector machine
- reinforcement learning