Hierarchical Bayesian Inference and Recursive Regularization for Large-Scale Classification.
Siddharth GopalYiming YangPublished in: ACM Trans. Knowl. Discov. Data (2015)
Keyphrases
- bayesian inference
- prior information
- hierarchical bayesian
- hyperparameters
- variational inference
- support vector
- probabilistic model
- decision trees
- bayesian model
- machine learning methods
- unsupervised learning
- statistical inference
- variational bayes
- feature vectors
- training set
- feature space
- bayesian models
- gibbs sampler
- restricted boltzmann machine
- machine learning
- markov chain monte carlo
- markov networks
- hidden variables
- feature selection
- class labels
- particle filter
- supervised learning
- dynamic programming