Generalization Bounds of ERM-Based Learning Processes for Continuous-Time Markov Chains.
Chao ZhangDacheng TaoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2012)
Keyphrases
- learning processes
- generalization bounds
- continuous time markov chains
- empirical risk minimization
- markov processes
- data dependent
- learning theory
- generalization ability
- poisson distribution
- vc dimension
- model selection
- statistical learning theory
- social interaction
- uniform convergence
- learning problems
- learning outcomes
- learning process
- learning activities
- numerically stable
- ranking algorithm
- learning environment
- linear classifiers
- learning scenarios
- learning objects
- kernel machines
- virtual environment
- non stationary
- sample complexity
- theoretical framework
- ranking functions
- markov chain
- data mining
- supervised learning
- learning machines
- multimedia
- active learning
- data points
- support vector machine
- upper bound
- inductive inference
- learning tasks
- kernel methods
- machine learning algorithms