The role of regularization in classification of high-dimensional noisy Gaussian mixture.
Francesca MignaccoFlorent KrzakalaYue M. LuLenka ZdeborováPublished in: CoRR (2020)
Keyphrases
- gaussian mixture
- high dimensional
- feature vectors
- density estimation
- pattern recognition
- feature extraction
- feature space
- gaussian mixture model
- closed form
- probability density function
- decision trees
- image processing
- feature selection
- machine learning
- image classification
- mixtures of gaussians
- model selection
- covariance matrix
- ground truth
- supervised learning
- data sets
- data mining
- statistical model
- text classification
- probabilistic model