The chi-square divergence measure in random sampling with dirichlet process priors.
Domingo MoralesLeandro PardoVicente QuesadaPublished in: Inf. Sci. (1991)
Keyphrases
- random sampling
- sampling algorithm
- information gain
- active learning
- sample size
- hyperparameters
- bayesian framework
- logistic regression
- posterior distribution
- feature selection
- prior information
- text categorization
- sliding window
- mixture model
- prior knowledge
- markov chain monte carlo
- data mining
- image reconstruction
- maximum a posteriori
- mutual information
- lower bound
- training data
- decision trees
- kl divergence