Towards a Novel Probabilistic Graphical Model of Sequential Data: A Solution to the Problem of Structure Learning and an Empirical Evaluation.
Marco BonginiEdmondo TrentinPublished in: ANNPR (2012)
Keyphrases
- structure learning
- probabilistic graphical models
- graphical models
- sequential data
- parameter learning
- bayesian networks
- markov networks
- hidden markov models
- probabilistic inference
- exact inference
- conditional independence
- random variables
- approximate inference
- belief propagation
- parameter estimation
- conditional random fields
- sequential patterns
- sample size
- transfer learning
- statistical learning
- data mining
- higher order
- least squares
- high dimensional
- computer vision
- social networks
- information retrieval