Mixture-Based Probabilistic Graphical Models for the Partial Label Ranking Problem.
Juan Carlos AlfaroJuan A. AledoJosé A. GámezPublished in: IDEAL (2021)
Keyphrases
- probabilistic graphical models
- label ranking
- graphical models
- pairwise
- instance based learning
- first order logic
- similarity function
- markov networks
- belief propagation
- multi label
- latent variables
- conditional random fields
- approximate inference
- probabilistic inference
- graph cuts
- hidden variables
- probabilistic model
- bayesian networks
- maximum likelihood
- image segmentation
- random variables
- distance function
- active learning
- reinforcement learning
- expectation maximization