Self-Organized Neural Learning of Statistical Inference from High-Dimensional Data.
Johannes BauerStefan WermterPublished in: IJCAI (2013)
Keyphrases
- statistical inference
- high dimensional data
- neural learning
- multi layered
- bayesian inference
- dimensionality reduction
- model selection
- graphical models
- nearest neighbor
- low dimensional
- neural network
- high dimensional
- high dimensionality
- data sets
- statistical learning
- subspace clustering
- dimension reduction
- data analysis
- data points
- incremental learning
- machine learning
- manifold learning
- linear discriminant analysis
- high dimensional spaces
- sparse representation
- clustering high dimensional data
- pattern recognition
- dimensional data
- high dimensional datasets
- high dimensional data sets
- training data
- input data
- multi dimensional
- probabilistic model
- input space
- bayesian networks
- decision trees
- text classification