Deep Belief Networks and Bayesian Networks for Prognosis of Acute Lymphoblastic Leukemia.
Fakhirah D. GhaisaniIto WasitoMoh. FaturrahmanRatna MufidahPublished in: ICACS (2017)
Keyphrases
- bayesian networks
- deep belief networks
- probabilistic model
- acute myeloid
- approximate inference
- unsupervised learning
- deep learning
- graphical models
- restricted boltzmann machine
- generative model
- hierarchical models
- conditional independence
- probabilistic inference
- structure learning
- exact inference
- machine learning
- probabilistic graphical models
- conditional probabilities
- markov networks
- random variables
- fault diagnosis
- topic models
- dynamic bayesian networks
- neural network
- hidden variables
- linear combination
- feature representations
- loopy belief propagation
- object recognition
- feature selection
- learning algorithm
- conditional random fields