Correlation Analysis between the Robustness of Sparse Neural Networks and their Random Hidden Structural Priors.
Mehdi Ben AmorJulian StierMichael GranitzerPublished in: KES (2021)
Keyphrases
- correlation analysis
- neural network
- regression analysis
- correlation coefficient
- cluster analysis
- spatial autocorrelation
- factor analysis
- heavy tailed
- pattern recognition
- high dimensional
- artificial neural networks
- bayesian framework
- back propagation
- real world
- pairwise
- genetic algorithm
- sparse representation
- text classification
- upper bound
- training data
- face recognition
- machine learning