A Common-Ground Review of the Potential for Machine Learning Approaches in Electrocardiographic Imaging Based on Probabilistic Graphical Models.
Jaume Coll-FontLinwei WangDana H. BrooksPublished in: CinC (2018)
Keyphrases
- machine learning approaches
- probabilistic graphical models
- graphical models
- machine learning methods
- machine learning
- markov networks
- first order logic
- machine learning algorithms
- latent variables
- belief propagation
- conditional random fields
- probabilistic inference
- approximate inference
- image processing
- high resolution
- exact inference
- data mining methods
- information retrieval
- image segmentation
- parameter learning
- natural language
- belief functions
- hidden variables
- decision trees
- real world
- computational intelligence