Compressed classification learning with Markov chain samples.
Feilong CaoTenghui DaiYongquan ZhangYuanpeng TanPublished in: Neural Networks (2014)
Keyphrases
- markov chain
- steady state
- learning algorithm
- supervised learning
- markov model
- reinforcement learning
- monte carlo method
- transition probabilities
- finite state
- monte carlo
- incremental learning
- stationary distribution
- learning tasks
- state space
- random walk
- monte carlo simulation
- model selection
- support vector machine
- bayesian learning
- active learning
- transition matrix