Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning.
Lukas RappLuca SchmidAndrej RodeLaurent SchmalenPublished in: ICASSP (2023)
Keyphrases
- machine learning
- factor graphs
- clustering algorithm
- message passing
- graphical models
- k means
- approximate inference
- belief propagation
- learning algorithm
- information extraction
- probabilistic model
- probabilistic inference
- co occurrence
- markov random field
- support vector machine
- latent variables
- statistical learning
- query processing
- computer vision