Analytical solutions for a family of single layer neural network regression problems.
Siddharth Krishna KumarPublished in: Tiny Papers @ ICLR (2023)
Keyphrases
- single layer
- regression problems
- neural network
- linear regression
- multi layer
- neural nets
- genetic programming
- cross validation
- activation function
- feed forward neural networks
- hidden layer
- high dimensional data
- input space
- learning machines
- hopfield neural network
- hyperparameters
- random forests
- multilayer perceptron
- radial basis function
- multi task
- support vector machine
- artificial neural networks
- support vector
- scalable video coding
- feed forward
- least squares
- training process
- nearest neighbor
- feature selection