Random Linear Projections Loss for Hyperplane-Based Optimization in Regression Neural Networks.
Shyam VenkatasubramanianAhmed AlouiVahid TarokhPublished in: CoRR (2023)
Keyphrases
- hyperplane
- simple linear
- neural network
- linearly separable
- support vector
- data points
- maximum margin
- feature space
- training samples
- linear classifiers
- linearly independent
- weight vector
- input space
- decision boundary
- maximal margin
- pattern recognition
- incremental learning algorithm
- convex hull
- artificial neural networks
- kernel function
- principal components
- support vector machine
- linear svm
- normal vectors
- linear separability
- support vectors
- model selection
- training process
- function approximators
- high dimensional