Incremental and Decremental SVM for Regression.
Honorius GâlmeanuLucian Mircea SasuRazvan AndoniePublished in: Int. J. Comput. Commun. Control (2016)
Keyphrases
- support vector
- support vector machine svm
- support vector machine
- support vector machines for classification
- classification and regression problems
- svm classifier
- support vector regression
- knn
- regression problems
- standard svm
- ridge regression
- support vectors
- regression model
- sliding window
- regression algorithm
- relevance vector machine
- multi class
- incremental learning
- feature selection
- kernel function
- kernel methods
- hyperplane
- machine learning
- pattern recognition
- feature vectors
- regression analysis
- model selection
- structural risk minimization
- loss function
- kernel ridge regression
- gaussian processes
- classification accuracy
- regression method
- learning machines
- multi class classification
- logistic regression
- training set
- svm classification
- maximum margin
- multi class svm
- binary classification
- polynomial kernels
- training data
- image classification
- incremental version
- sparse kernel
- nonlinear regression
- genetic programming
- ls svm
- generalization ability
- data sets
- training samples
- classification algorithm
- cross validation