Learning Discrete-Time Markov Chains Under Concept Drift.
Manuel RoveriPublished in: IEEE Trans. Neural Networks Learn. Syst. (2019)
Keyphrases
- markov chain
- concept drift
- finite state
- markov processes
- learning algorithm
- steady state
- batch learning
- state space
- drifting concepts
- incremental learning
- random walk
- supervised learning
- prior knowledge
- transition probabilities
- stationary distribution
- markov process
- transition matrix
- change detection
- non stationary
- dimensionality reduction
- reinforcement learning
- feature selection