Learning Hidden Markov Models with Distributed State Representations for Domain Adaptation.
Min XiaoYuhong GuoPublished in: ACL (2) (2015)
Keyphrases
- hidden markov models
- domain adaptation
- learning algorithm
- hidden state
- covariate shift
- sequence classification
- labeled data
- reinforcement learning
- learning process
- prior knowledge
- continuous hidden markov models
- multiple sources
- n gram
- supervised learning
- sequential data
- model selection
- active learning
- decision trees