Characterizing Bias in Classifiers using Generative Models.
Daniel J. McDuffShuang MaYale SongAshish KapoorPublished in: CoRR (2019)
Keyphrases
- generative model
- feature representations
- probabilistic model
- mixture model
- discriminative models
- discriminative learning
- naive bayes models
- semi supervised
- hierarchical hidden markov models
- support vector
- prior knowledge
- decision trees
- training data
- conditional random fields
- topic models
- object categories
- feature selection
- generative and discriminative models
- naive bayes
- hierarchical models
- em algorithm
- co training
- machine learning algorithms
- training examples
- training set
- bayesian networks
- expectation maximization
- class labels
- knn
- maximum entropy principle
- mixed membership
- training samples
- text classification