Graph-based regularization for regression problems with highly-correlated designs.
Yuan LiGarvesh RaskuttiRebecca WillettPublished in: CoRR (2018)
Keyphrases
- regression problems
- highly correlated
- linear regression
- genetic programming
- cross validation
- high dimensional data
- high dimensionality
- input space
- hyperparameters
- average precision
- statistically significant
- random forests
- learning machines
- prior information
- data sets
- model selection
- pattern recognition
- nearest neighbor
- support vector machine
- bayesian networks
- feature selection
- expectation maximization
- low dimensional
- semi supervised
- knn
- multi task
- decision trees
- data mining
- neural network