A Deep Learning Approach with Conditional Random Field for Automatic Sleep Stage Scoring.
Yuanyuan WuXiangzhen FangJin LiLin ZhangZhiwei ChenYilei WangPublished in: EITCE (2021)
Keyphrases
- deep learning
- conditional random fields
- sleep stage
- restricted boltzmann machine
- sleep apnea
- crf model
- long range
- graphical models
- unsupervised learning
- hidden markov models
- probabilistic model
- markov random field
- generative model
- information extraction
- higher order
- mental models
- maximum entropy
- named entity recognition
- machine learning
- weakly supervised
- pairwise
- computer vision
- maximum likelihood
- object detection
- approximate inference
- active learning
- prior knowledge
- k means