Regularization Effect of Random Node Fault/Noise on Gradient Descent Learning Algorithm.
John SumChi-Sing LeungPublished in: IEEE Trans. Neural Networks Learn. Syst. (2023)
Keyphrases
- learning algorithm
- classification noise
- learning rules
- fault diagnosis
- noise level
- noise model
- active learning
- reinforcement learning
- back propagation
- training data
- noisy data
- signal to noise ratio
- additive noise
- pac learning
- wiener filter
- cost function
- noise reduction
- machine learning
- learning rate
- expert systems
- gaussian noise
- training examples
- fault model
- stochastic gradient descent
- mumford shah functional
- conjugate gradient
- regularization term
- learning scheme
- fault detection
- regularization parameter
- learning tasks
- directed graph
- tree structure
- supervised learning