Probabilistic Graphical Models and Deep Belief Networks for Prognosis of Breast Cancer.
Mahmoud KhademiNedialko S. NedialkovPublished in: ICMLA (2015)
Keyphrases
- breast cancer
- probabilistic graphical models
- graphical models
- markov networks
- logistic regression
- latent variables
- first order logic
- exact inference
- belief propagation
- parameter learning
- approximate inference
- probabilistic inference
- probabilistic model
- breast cancer patients
- conditional random fields
- bayesian networks
- random variables
- unsupervised learning
- semi supervised
- structure learning
- fuzzy measures
- maximum likelihood
- soft computing
- belief networks
- message passing
- level set
- hidden markov models
- data analysis
- pattern recognition
- image processing