A Learning Algorithm with Gaussian Regularizer for Kernel Neuron.
Jianhua XuXuegong ZhangPublished in: ISNN (1) (2004)
Keyphrases
- learning algorithm
- gaussian kernel
- multi task learning
- rbf kernel
- kernel function
- rbf network
- kernel methods
- series expansion
- neural network
- active learning
- learning problems
- machine learning algorithms
- training examples
- polynomial kernels
- support vector
- back propagation
- training data
- radial basis function
- semi supervised
- learning tasks
- maximum likelihood
- gaussian processes
- learning scheme
- reproducing kernel hilbert space
- reinforcement learning
- scale space
- total variation
- kernel machines
- gaussian kernels
- supervised learning
- positive definite
- machine learning
- feature space
- high dimensional
- learning process
- learning rate
- activation function
- kernel matrix
- density function
- multi task
- learning models
- feed forward
- principal component analysis
- neuron model
- training samples