Learning Temporal Dependence from Time-Series Data with Latent Variables.
Hossein HosseiniSreeram KannanBaosen ZhangRadha PoovendranPublished in: CoRR (2016)
Keyphrases
- latent variables
- prior knowledge
- latent variable models
- structural svms
- structured output
- probabilistic model
- hidden variables
- structured prediction
- max margin
- learning tasks
- learning problems
- hierarchical model
- learning algorithm
- topic models
- random variables
- approximate inference
- hidden markov models
- decision trees
- structural svm