The Role of Regularization in Classification of High-dimensional Noisy Gaussian Mixture.
Francesca MignaccoFlorent KrzakalaYue LuPierfrancesco UrbaniLenka ZdeborováPublished in: ICML (2020)
Keyphrases
- gaussian mixture
- high dimensional
- feature space
- em algorithm
- mixtures of gaussians
- feature extraction
- density estimation
- pattern recognition
- feature vectors
- unsupervised learning
- dimensionality reduction
- image classification
- gaussian mixture model
- decision trees
- machine learning
- low dimensional
- text classification
- supervised learning
- machine learning algorithms
- expectation maximization
- data points
- mixture model
- training set
- covariance matrix
- probability density function
- similarity measure
- face recognition