Uncertainty Propagation in Deep Neural Network Using Active Subspace.
Weiqi JiZhuyin RenChung K. LawPublished in: CoRR (2019)
Keyphrases
- subspace learning
- neural network
- dimensionality reduction
- linear subspace
- low dimensional
- principal component analysis
- face recognition
- pattern recognition
- back propagation
- high dimensional data
- bp neural network
- neural network model
- neural network is trained
- inherent uncertainty
- learning algorithm
- semi supervised
- self organizing maps
- fault diagnosis
- unsupervised learning
- multilayer perceptron
- feed forward neural networks
- multi layer perceptron
- activation function
- data sets
- linear combination
- feature extraction
- feature space
- expected utility
- decision theory
- belief functions
- multi layer
- recurrent neural networks
- feed forward