Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures.
Yuan CaoQuanquan GuMikhail BelkinPublished in: NeurIPS (2021)
Keyphrases
- maximum margin
- gaussian mixture
- support vector
- pattern classification
- support vector machine
- pattern recognition
- hyperplane
- expectation maximization
- machine learning
- feature vectors
- learning algorithm
- image classification
- em algorithm
- support vector machine svm
- gaussian mixture model
- image segmentation
- optimal solution
- multiple kernel learning
- markov networks
- text classification
- feature extraction
- data mining
- feature space
- generalization error
- multi task
- image processing
- probability density function
- covariance matrix
- class labels
- unsupervised learning
- higher order
- multi class
- similarity measure