Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks.
Blake BordelonCengiz PehlevanPublished in: CoRR (2023)
Keyphrases
- neural network
- prediction accuracy
- prediction model
- artificial neural networks to predict
- pattern recognition
- dynamic model
- prediction algorithm
- radial basis function network
- nonlinear dynamics
- kernel function
- kernel methods
- genetic algorithm
- multilayer perceptron
- neural networks and support vector machines
- multi layer perceptron
- linearly separable
- least squares support vector machine
- radial basis function neural network
- support vector
- recurrent neural networks
- statistical mechanics
- back propagation
- hidden markov random fields
- artificial neural networks
- belief networks
- linear separability
- recurrent networks
- neural network ensemble
- gaussian processes
- prediction error
- bayesian inference
- neural network model
- dynamical systems
- markov random field
- pairwise
- feature space
- bayesian networks
- machine learning