Generalization Bounds for Neural Belief Propagation Decoders.
Sudarshan AdigaXin XiaoRavi TandonBane VasicTamal BosePublished in: CoRR (2023)
Keyphrases
- belief propagation
- generalization bounds
- graphical models
- data dependent
- generalization ability
- learning theory
- markov random field
- graph cuts
- stereo matching
- model selection
- ranking algorithm
- vc dimension
- learning problems
- linear classifiers
- statistical learning theory
- neural network
- pairwise
- energy minimization
- learning algorithm
- machine learning
- cross validation
- statistical learning
- computer vision
- objective function
- probabilistic model
- support vector machine