A Statistical Learning Theory Approach for Uncertain Linear and Bilinear Matrix Inequalities
Mohammadreza ChamanbazFabrizio DabbeneRoberto TempoVenkatakrishnan VenkataramananQing-Guo WangPublished in: CoRR (2013)
Keyphrases
- statistical learning theory
- risk bounds
- statistical learning
- theoretical framework
- support vector machine
- machine learning
- learning problems
- vc dimension
- singular value decomposition
- empirical risk minimization
- supervised classification
- inductive inference
- granular computing
- kernel machines
- sufficient conditions
- active learning
- semi supervised learning
- linear model
- feature extraction