Greedy Algorithm for a Training Set Reduction in the Kernel Methods.
Vojtech FrancVáclav HlavácPublished in: CAIP (2003)
Keyphrases
- greedy algorithm
- kernel methods
- training set
- feature space
- support vector machine
- kernel function
- greedy algorithms
- learning problems
- training data
- supervised learning
- objective function
- kernel matrix
- machine learning
- support vector
- classification accuracy
- dynamic programming
- reproducing kernel hilbert space
- data sets
- learning tasks
- worst case
- multiple kernel learning
- influence spread
- svm classifier
- cross validation
- feature extraction
- kernel pca
- training samples
- active learning
- greedy strategy
- kernel matrices
- class labels
- special case
- feature vectors
- high dimensional
- image processing
- feature selection