Learning and Inference in Hilbert Space with Quantum Graphical Models.
Siddarth SrinivasanCarlton DowneyByron BootsPublished in: CoRR (2018)
Keyphrases
- graphical models
- probabilistic inference
- relational dependency networks
- belief networks
- undirected graphical models
- bayesian networks
- markov logic networks
- belief propagation
- learning algorithm
- probabilistic model
- approximate inference
- structure learning
- random variables
- influence diagrams
- hilbert space
- random fields
- multivariate time series
- support vector
- conditional random fields
- maximum likelihood
- pairwise
- dimensionality reduction