Principal Component Networks: Parameter Reduction Early in Training.
Roger WaleffeTheodoros RekatsinasPublished in: CoRR (2020)
Keyphrases
- principal components
- principal component analysis
- dimensionality reduction
- multivariate data
- recurrent networks
- supervised learning
- complex networks
- echo state networks
- computer vision
- image processing
- network parameters
- covariance matrix
- high dimensionality
- network structure
- correlation coefficient
- principal component regression
- data sets
- feature set
- semi supervised
- artificial neural networks
- training set
- lower bound
- feature space
- social networks
- learning algorithm