Generalization Performance of Subspace Bayes Approach in Linear Neural Networks.
Shinichi NakajimaSumio WatanabePublished in: IEICE Trans. Inf. Syst. (2006)
Keyphrases
- neural network
- linear subspace
- genetic algorithm
- back propagation
- highly non linear
- hilbert space
- subspace learning
- principal component analysis
- dimensionality reduction
- neural network model
- grassmann manifold
- decision trees
- feature selection
- fuzzy systems
- recurrent neural networks
- self organizing maps
- clustering algorithm
- artificial neural networks
- linear model
- subspace clustering
- nearest neighbor
- high dimensional
- support vector
- feature extraction