Adaptive truncated residual regression for fine-grained regression problems.
Hirotaka HachiyaYu YamamotoKazuro HiraharaNaonori UedaPublished in: ACML (2019)
Keyphrases
- fine grained
- regression problems
- linear regression
- coarse grained
- genetic programming
- cross validation
- regression function
- classification and regression problems
- regression trees
- locally weighted
- random forests
- input space
- high dimensional data
- access control
- hyperparameters
- multi task
- learning machines
- neural network
- data lineage
- feature selection
- model selection
- least squares
- support vector machine
- feature vectors
- support vector