A k-hyperplane-based neural network for non-linear regression.
Hongmei HeZengchang QinPublished in: IEEE ICCI (2010)
Keyphrases
- knn
- hyperplane
- simple linear
- neural network
- support vector machine
- input space
- support vector
- data points
- decision boundary
- training samples
- principal components
- feature space
- feature selection
- incremental learning algorithm
- maximum margin
- linear classifiers
- svm classifier
- regression model
- support vectors
- semi parametric
- kernel function
- weight vector
- linear separability
- model selection
- linearly separable
- maximal margin
- normal vectors
- back propagation
- convex hull
- radial basis function
- machine learning
- dimensionality reduction
- kernel space
- artificial neural networks
- pattern recognition