Bayesian Inference: An Introduction to Principles and Practice in Machine Learning.
Michael E. TippingPublished in: Advanced Lectures on Machine Learning (2003)
Keyphrases
- bayesian inference
- machine learning
- statistical inference
- prior information
- probabilistic model
- variational bayes
- hyperparameters
- bayesian model
- hierarchical bayesian
- variational inference
- weighted model counting
- machine learning algorithms
- machine learning methods
- particle filter
- prior distribution
- probabilistic modeling
- feature selection
- learning algorithm
- supervised learning
- decision trees
- variational approximation
- markov random field
- reinforcement learning
- training data
- image segmentation
- expectation propagation