Using Discriminative Graphical Models for Insurance Recommender Systems.
Teja KanchinadamMaleeha QaziJoseph BockhorstMary Y. MorellKatie J. MeissnerGlenn FungPublished in: ICMLA (2018)
Keyphrases
- graphical models
- recommender systems
- belief propagation
- collaborative filtering
- probabilistic model
- probabilistic inference
- random variables
- probabilistic graphical models
- bayesian networks
- approximate inference
- conditional random fields
- structure learning
- markov networks
- map inference
- belief networks
- exact inference
- statistical inference
- feature selection
- max margin
- factor graphs
- crf model
- graph structure
- gaussian graphical models
- conditional independence
- semi supervised
- exponential family
- undirected graphical models
- latent variables