Training generative neural networks via Maximum Mean Discrepancy optimization.
Gintare Karolina DziugaiteDaniel M. RoyZoubin GhahramaniPublished in: UAI (2015)
Keyphrases
- neural network
- training process
- training algorithm
- feedforward neural networks
- feed forward neural networks
- artificial neural networks
- back propagation
- global optimization
- training set
- discriminative training
- multi layer perceptron
- optimization problems
- optimization process
- training examples
- training patterns
- pattern recognition
- optimization algorithm
- generative model
- optimization method
- backpropagation algorithm
- constrained optimization
- neural network structure
- error back propagation
- genetic algorithm
- multi layer
- combinatorial optimization
- test set
- data driven
- supervised learning
- fuzzy logic
- training data
- multilayer neural network
- discriminatively trained
- feature selection
- highly non linear
- neural network training
- probabilistic model
- radial basis function network
- unsupervised learning
- self organizing maps
- neural nets