Hyperplane Arrangements and Fixed Points in Iterated PWL Neural Networks.
Hans-Peter BeisePublished in: CoRR (2024)
Keyphrases
- hyperplane
- fixed point
- neural network
- support vector
- data points
- pattern recognition
- feature space
- input space
- training samples
- belief propagation
- kernel function
- sufficient conditions
- principal components
- support vector machine
- dynamical systems
- convex hull
- competitive learning
- free energy
- k nearest neighbor
- svm classifier
- self organizing maps
- graphical models
- principal component analysis
- radial basis function
- high dimensional