An Application of a PDE-Based Neural Network with Bayesian Optimization to Regression.
Hirotada HondaPublished in: ICAIIC (2024)
Keyphrases
- neural network
- gaussian processes
- image reconstruction from projections
- sparse bayesian learning
- artificial neural networks
- optimization algorithm
- efficient optimization
- optimization problems
- bayesian learning
- fuzzy logic
- global optimization
- partial differential equations
- pattern recognition
- neural network model
- support vector regression
- bayesian inference
- neural nets
- regression model
- back propagation
- bayesian networks
- bp neural network
- posterior probability
- feed forward
- level set method
- image restoration
- highly non linear
- learning algorithm