Fast Bayesian Feature Selection for High Dimensional Linear Regression in Genomics via the Ising Approximation.
Charles K. FisherPankaj MehtaPublished in: CoRR (2014)
Keyphrases
- linear regression
- high dimensional
- feature selection
- generalized linear models
- high dimensionality
- least squares
- feature space
- regression problems
- dimensionality reduction
- regression methods
- gene expression data
- microarray data
- ridge regression
- linear regression model
- nonlinear regression
- low dimensional
- markov random field
- variable selection
- dimension reduction
- partition function
- locally weighted
- regression trees
- bayesian inference
- feature subset
- feature extraction
- model selection
- linear models
- regression method
- nearest neighbor
- support vector
- closed form
- high dimensional data
- text categorization
- classification accuracy
- data points
- multivariate regression
- information gain
- bayesian networks
- support vector machine
- linear predictors
- text classification
- posterior distribution