Feature Group Selection Using MKL Penalized with \ell _1 ℓ 1 -norm and SVM as Base Learner.
Henry Jhoán Areiza-LaverdeGloria M. DíazAndrés Eduardo Castro-OspinaPublished in: WEA (1) (2018)
Keyphrases
- multiple kernel learning
- base learners
- support vector
- feature vectors
- support vector machine svm
- support vector machine
- classification algorithm
- loss function
- feature set
- feature selection
- ensemble methods
- kernel methods
- generalization ability
- least squares
- binary classification
- svm classifier
- ensemble learning
- decision trees
- learning problems
- base classifiers
- learning algorithm
- training set
- random forests
- training process
- multi task
- cross validation
- machine learning
- feature extraction
- maximum likelihood
- training data
- knn