Bayesian neural networks and dimensionality reduction.
Deborshee SenTheodore PapamarkouDavid DunsonPublished in: CoRR (2020)
Keyphrases
- dimensionality reduction
- neural network
- pattern recognition
- high dimensional data
- data representation
- high dimensional
- pattern recognition and machine learning
- structure preserving
- dimensionality reduction methods
- feed forward
- artificial neural networks
- low dimensional
- principal component analysis
- manifold learning
- principal components
- feature extraction
- fuzzy logic
- data driven
- maximum likelihood
- high dimensionality
- multilayer perceptron
- metric learning
- linear discriminant analysis
- recurrent neural networks
- neural network model
- posterior probability
- feature selection
- machine learning
- bayesian inference
- neural nets
- bayesian learning
- discriminant analysis
- back propagation
- bayesian networks
- genetic algorithm
- self organizing maps
- nearest neighbor
- feature space
- multi layer
- fuzzy systems
- bayesian methods
- decision trees
- image processing