High-Dimensional Distribution Generation Through Deep Neural Networks.
Dmytro PerekrestenkoLéandre EberhardHelmut BölcskeiPublished in: CoRR (2021)
Keyphrases
- neural network
- high dimensional
- pattern recognition
- variable selection
- artificial neural networks
- neural nets
- input pattern
- sparse data
- dimensionality reduction
- nearest neighbor
- probability distribution
- low dimensional
- random variables
- uniformly distributed
- metric space
- manifold learning
- support vector
- spatial distribution
- feature space
- data sets
- generation process
- rule extraction
- genetic algorithm
- activation function
- network architecture
- fuzzy systems
- fuzzy logic
- parameter space
- gene expression data
- sample size
- multi dimensional
- data points