A Scalable Learning Algorithm for Kernel Probabilistic Classifier.
Mathieu SerrurierHenri PradePublished in: SUM (2013)
Keyphrases
- learning algorithm
- training data
- feature space
- support vector
- classification algorithm
- multiple kernel learning
- training examples
- linear classifiers
- training samples
- probabilistic model
- machine learning algorithms
- kernel function
- kernel methods
- learning problems
- feature selection
- machine learning
- bayesian networks
- decision trees
- supervised learning
- learning rate
- svm classifier
- decision function
- decision stumps
- co training
- class labels
- generative model
- active learning
- learning models
- generalization ability
- back propagation
- unlabeled data
- learning process
- kernel classifiers
- confidence estimates
- augmented naive bayes
- transfer learning
- learning scheme
- feature set
- kernel machines
- generalized discriminant analysis
- histogram intersection kernel