On the Consistency of Bayesian Variable Selection for High Dimensional Binary Regression and Classification.
Wenxin JiangPublished in: Neural Comput. (2006)
Keyphrases
- variable selection
- high dimensional
- model selection
- cross validation
- dimension reduction
- linear models
- high dimensionality
- regression problems
- support vector
- input variables
- feature space
- feature selection
- high dimensional data
- proportional hazards model
- group lasso
- logistic regression models
- feature extraction
- binary classifiers
- pattern recognition
- regression model
- data sets
- support vector machine svm
- feature vectors
- bayesian networks
- unsupervised learning
- low dimensional
- preprocessing
- decision trees
- machine learning
- gaussian process
- ls svm
- bayesian methods
- relevance vector machine
- feature selection and classification