Input space configuration effects in neural network-based grade estimation.
Ioannis Konstantinou KapageridisPublished in: Comput. Geosci. (2005)
Keyphrases
- embedding space
- input space
- dimensionality reduction
- low dimensional
- high dimensional
- feature space
- input data
- manifold learning
- training set
- neural network
- kernel function
- data points
- hyperplane
- high dimensional data
- regression problems
- k nearest neighbor
- input patterns
- class labels
- high dimensional feature space
- generative model
- multi class
- knn
- linearly separable
- database