Training generative neural networks via Maximum Mean Discrepancy optimization.
Gintare Karolina DziugaiteDaniel M. RoyZoubin GhahramaniPublished in: CoRR (2015)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- global optimization
- multi layer perceptron
- fuzzy logic
- genetic algorithm
- optimization method
- optimization problems
- feedforward neural networks
- generative model
- backpropagation algorithm
- neural network training
- training phase
- optimization process
- neural network model
- training samples
- pattern recognition
- artificial neural networks
- error back propagation
- back propagation
- training examples
- highly non linear
- optimization methods
- neural network structure
- constrained optimization
- data driven
- discriminative training
- training set
- evolutionary algorithm
- supervised learning
- training patterns
- discriminative classifiers
- active learning
- self organizing maps
- hidden layer
- unsupervised learning
- feed forward
- test set