Support Vector Machines, Kernel Logistic Regression and Boosting.
Ji ZhuTrevor HastiePublished in: Multiple Classifier Systems (2002)
Keyphrases
- dimensionality reduction
- kernel logistic regression
- kernel learning
- support vector
- feature selection
- kernel machines
- learning machines
- semi supervised
- support vector machine
- gaussian process
- logistic regression
- class probabilities
- feature space
- maximum entropy
- learning algorithm
- multi class
- data points
- ensemble learning
- svm classifier
- bayesian framework
- loss function
- semi supervised learning
- gaussian processes
- active learning
- training data
- machine learning