Learning a hyperplane classifier by minimizing an exact bound on the VC dimension.
JayadevaPublished in: Neurocomputing (2015)
Keyphrases
- hyperplane
- vc dimension
- distribution free
- linear classifiers
- upper bound
- learning algorithm
- inductive inference
- training samples
- reinforcement learning
- support vector
- generalization bounds
- feature space
- lower bound
- learning process
- supervised learning
- feature selection
- learning problems
- support vector machine
- image processing
- theoretical analysis
- input data
- worst case