Learning a Fuzzy Hyperplane Fat Margin Classifier with Minimum VC dimension.
JayadevaSanjit Singh BatraSiddarth SabharwalPublished in: CoRR (2015)
Keyphrases
- hyperplane
- support vector
- decision boundary
- vc dimension
- linear classifiers
- learning algorithm
- feature space
- training samples
- learning process
- upper bound
- support vector machine
- half spaces
- inductive inference
- multi class
- data points
- training set
- reinforcement learning
- training data
- feature extraction
- principal components
- learning theory
- pattern recognition
- support vectors
- similarity measure
- feature selection