Structural Optimization of Factor Graphs for Symbol Detection via Continuous Clustering and Machine Learning.
Lukas RappLuca SchmidAndrej RodeLaurent SchmalenPublished in: CoRR (2022)
Keyphrases
- machine learning
- factor graphs
- clustering algorithm
- message passing
- graphical models
- k means
- approximate inference
- belief propagation
- reinforcement learning
- data mining
- feature selection
- inductive logic programming
- supervised learning
- text mining
- support vector machine
- statistical learning
- data points
- exact inference
- active learning