Graph-Based Regularization for Regression Problems with Alignment and Highly Correlated Designs.
Yuan LiBenjamin MarkGarvesh RaskuttiRebecca WillettHyebin SongDavid NeimanPublished in: SIAM J. Math. Data Sci. (2020)
Keyphrases
- information retrieval systems
- highly correlated
- regression problems
- genetic programming
- cross validation
- linear regression
- high dimensionality
- high dimensional data
- input space
- average precision
- statistically significant
- random forests
- hyperparameters
- learning machines
- feature selection
- support vector machine
- prior information
- multi task
- model selection
- machine learning
- decision trees
- feature space
- noise level
- data sets
- support vector
- high dimensional
- data analysis