Towards a Novel Probabilistic Graphical Model of Sequential Data: Fundamental Notions and a Solution to the Problem of Parameter Learning.
Edmondo TrentinMarco BonginiPublished in: ANNPR (2012)
Keyphrases
- parameter learning
- probabilistic graphical models
- sequential data
- bayesian networks
- structure learning
- conditional random fields
- graphical models
- generative model
- hidden markov models
- statistical learning
- em algorithm
- maximum likelihood
- parameter estimation
- first order logic
- markov random field
- fixed length
- expectation maximization
- approximate inference
- hidden variables
- sequential patterns
- probabilistic inference
- probabilistic model
- latent variables
- exact inference
- text classification