Variable selection in Bayesian multiple instance regression using shotgun stochastic search.
Seongoh ParkJoungyoun KimXinlei WangJohan LimPublished in: Comput. Stat. Data Anal. (2024)
Keyphrases
- variable selection
- stochastic search
- multiple instance
- regression problems
- cross validation
- model selection
- multiple instance learning
- hyperparameters
- high dimensional data
- learning problems
- gaussian processes
- concept learning
- linear regression
- regression model
- support vector
- training set
- genetic programming
- dimension reduction
- maximum likelihood
- bayesian inference
- high dimensional
- semi supervised learning
- multi task
- machine learning
- learning tasks
- relational learning
- data analysis
- pattern recognition