Hinging hyperplanes for regression, classification, and function approximation.
Leo BreimanPublished in: IEEE Trans. Inf. Theory (1993)
Keyphrases
- function approximation
- support vector
- hyperplane
- reinforcement learning
- temporal difference learning algorithms
- radial basis function
- classification accuracy
- model selection
- regression problems
- machine learning
- learning tasks
- temporal difference
- pattern recognition
- support vector machine
- svm classifier
- decision trees
- training set
- image classification
- text classification
- unsupervised learning
- support vector machine svm
- feature selection
- feature vectors
- temporal difference learning
- model free
- feature extraction
- feature space
- machine learning algorithms
- semi supervised learning
- supervised learning