Distance-To-Mean Continuous Conditional Random Fields: Case Study in Traffic Congestion.
Sumarsih Condroayu PurbaraniHadaiq Rolis SanabilaAri WibisonoNoverina AlfianyHanif Arif WisesaWisnu JatmikoPublished in: Inf. (2019)
Keyphrases
- conditional random fields
- traffic congestion
- traffic flow
- graphical models
- information extraction
- hidden markov models
- crf model
- probabilistic model
- sequence labeling
- travel time
- traffic information
- urban areas
- road network
- generative model
- higher order
- pairwise
- markov random field
- structured prediction
- named entity recognition
- traffic data
- information services
- network traffic
- web page prediction
- machine learning
- segmentation method
- bayesian networks
- computer vision