Predictive Distribution Estimation for Bayesian Machine Learning using a Dirichlet Process Prior.
Paul RademacherMilos DoroslovackiPublished in: ACSSC (2019)
Keyphrases
- machine learning
- bayesian estimation
- learning systems
- estimation algorithm
- machine learning methods
- inductive learning
- information extraction
- bayesian networks
- pattern recognition
- bayesian inference
- inductive logic programming
- explanation based learning
- data mining
- bayesian learning
- accurate estimation
- maximum likelihood
- computational intelligence
- natural language processing
- data analysis
- estimation accuracy
- learning algorithm
- markov random field prior
- bayesian methods
- robust estimation
- computational biology
- gaussian processes
- feature selection
- posterior probability
- machine learning algorithms
- model selection
- knowledge acquisition
- active learning
- computer science