A statistical learning theory approach for uncertain linear and bilinear matrix inequalities.
Mohammadreza ChamanbazFabrizio DabbeneRoberto TempoVenkatakrishnan VenkataramananQing-Guo WangPublished in: Autom. (2014)
Keyphrases
- statistical learning theory
- risk bounds
- statistical learning
- theoretical framework
- singular value decomposition
- support vector machine
- learning problems
- machine learning
- supervised classification
- kernel machines
- inductive inference
- vc dimension
- active learning
- empirical risk minimization
- granular computing
- sufficient conditions
- learning algorithm
- reinforcement learning
- decision making
- data mining
- data sets
- sample complexity