Reducing the Dependence of the Neural Network Function to Systematic Uncertainties in the Input Space.
Stefan WunschSimon JörgerRoger WolfGünter QuastPublished in: Comput. Softw. Big Sci. (2020)
Keyphrases
- input space
- neural network
- kernel function
- feature space
- dimensionality reduction
- output space
- k nearest neighbor
- input data
- hyperplane
- data points
- smooth functions
- high dimensional
- knn
- low dimensional
- reproducing kernel hilbert space
- pattern recognition
- class labels
- training set
- artificial neural networks
- high dimensional data
- kernel methods
- receptive fields
- regression problems
- high dimensional feature space
- self organizing maps
- recurrent neural networks
- machine learning
- image processing
- input patterns
- linearly separable
- embedding space
- database