Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression.
Pieter ButeneersKen CaluwaertsJoni DambreDavid VerstraetenBenjamin SchrauwenPublished in: Neural Process. Lett. (2013)
Keyphrases
- regularization parameter
- ridge regression
- feature selection
- image restoration
- cross validation
- hyperparameters
- support vector
- text classification
- model selection
- ls svm
- linear regression
- data sets
- support vector machine
- text categorization
- logistic regression
- parameter values
- incremental learning
- pairwise
- feature space
- upper bound
- classification accuracy
- active learning