Generalization Bounds for Neural Belief Propagation Decoders.
Sudarshan AdigaXin XiaoRavi TandonBane VasicTamal BosePublished in: IEEE Trans. Inf. Theory (2024)
Keyphrases
- belief propagation
- generalization bounds
- graphical models
- learning theory
- data dependent
- generalization ability
- model selection
- markov random field
- graph cuts
- vc dimension
- stereo matching
- linear classifiers
- ranking algorithm
- statistical learning theory
- learning problems
- pairwise
- neural network
- energy minimization
- energy function
- upper bound
- image segmentation
- learning algorithm
- image processing
- higher order
- image retrieval
- hyperparameters
- inductive inference