Machine Learning and the Future of Bayesian Computation.
Steven WinterTrevor CampbellLizhen LinSanvesh SrivastavaDavid B. DunsonPublished in: CoRR (2023)
Keyphrases
- machine learning
- long term
- machine learning algorithms
- pattern recognition
- machine learning approaches
- learning algorithm
- machine learning methods
- computational intelligence
- knowledge representation
- computer vision
- statistical inference
- covariate shift
- kernel methods
- bayesian methods
- model selection
- text classification
- data driven
- real world
- supervised learning
- information extraction
- data mining
- active learning
- bayesian networks
- decision trees
- genetic algorithm
- artificial intelligence
- learning tasks
- data sets
- paradigm shift
- bayesian learning
- explanation based learning
- statistical learning
- inductive logic programming
- learning problems
- natural language processing
- information technology
- maximum likelihood
- support vector machine
- text mining