Maximum A Posteriori Approximation of Hidden Markov Models for Proportional Sequential Data Modeling With Simultaneous Feature Selection.
Samr AliNizar BouguilaPublished in: IEEE Trans. Neural Networks Learn. Syst. (2022)
Keyphrases
- sequential data
- hidden markov models
- maximum a posteriori
- markov random field
- feature selection
- image reconstruction
- maximum likelihood
- bayesian framework
- baum welch
- posterior distribution
- energy function
- expectation maximization
- em algorithm
- markov models
- sequential patterns
- sequence classification
- model selection
- spatio temporal
- sequential pattern mining
- pairwise
- data structure