Parameter continuity in time-varying Gauss-Markov models for learning from small training data sets.
Martin RonPavel BurgetVáclav HlavácPublished in: Inf. Sci. (2022)
Keyphrases
- markov models
- data sets
- supervised learning
- hidden state
- higher order
- active learning
- reinforcement learning
- maximum entropy
- learning algorithm
- training data
- bayesian networks
- probabilistic model
- structured prediction
- hidden variables
- graphical models
- information extraction
- prior knowledge
- training set
- machine learning