Bayesian regression selecting valuable subset from mixed bag training data.
Takayuki KatsukiMasato InouePublished in: ICPR (2016)
Keyphrases
- training data
- sparse bayesian learning
- gaussian processes
- regression model
- supervised learning
- relevance vector machine
- classification accuracy
- training set
- linear regression
- test data
- bayesian learning
- model selection
- decision trees
- data sets
- regression problems
- learning algorithm
- support vector machine
- generalized linear
- bayesian networks
- support vector regression
- regression methods
- training instances
- training dataset
- machine learning
- bag of words
- model averaging
- training process
- prior knowledge
- naive bayes
- single instance
- labeled data
- regression algorithm
- visual features
- partial least squares
- support vector
- text classification
- maximum likelihood
- multi instance
- simple linear
- classification models
- training samples
- domain adaptation
- regression analysis
- generalization error
- posterior probability