Incorporating fuzzy prior knowledge into Relevance Vector Machine regression.
Jin YuanKesheng WangTao YuXuemei LiuPublished in: IJCNN (2008)
Keyphrases
- relevance vector machine
- prior knowledge
- sparse bayesian learning
- gaussian processes
- bayesian learning
- support vector machine
- nonlinear regression
- prior information
- gaussian process
- domain knowledge
- regression model
- genetic programming
- model selection
- bayesian framework
- linear regression
- positive data
- information extraction
- generative model
- hidden markov models
- feature selection