Cost-Constrained Feature Optimization in Kernel Machine Classifiers.
Christopher R. RattoCarlos A. CaceresHoward C. SchoeberleinPublished in: IEEE Signal Process. Lett. (2015)
Keyphrases
- kernel machines
- support vector
- multiple kernel learning
- semi supervised
- feature set
- semi supervised learning
- learning machines
- feature vectors
- kernel function
- machine learning
- learning algorithm
- kernel methods
- training samples
- labeled and unlabeled data
- training data
- machine learning algorithms
- loss function
- learning problems
- co training
- multiple features
- supervised learning
- reproducing kernel hilbert space