Graph-Based Regularization for Regression Problems with Highly-Correlated Designs.
Yuan LiBenjamin MarkGarvesh RaskuttiRebecca WillettPublished in: GlobalSIP (2018)
Keyphrases
- highly correlated
- regression problems
- genetic programming
- linear regression
- cross validation
- input space
- average precision
- hyperparameters
- random forests
- high dimensionality
- high dimensional data
- learning machines
- statistically significant
- multi task
- semi supervised
- least squares
- prior information
- data mining
- information retrieval
- random sampling
- model selection
- dimensionality reduction
- similarity measure
- data sets
- learning process
- support vector machine
- active learning