Benign Overfitting in Binary Classification of Gaussian Mixtures.
Ke WangChristos ThrampoulidisPublished in: ICASSP (2021)
Keyphrases
- binary classification
- gaussian mixture
- generalization error
- cross validation
- support vector
- multi class
- learning problems
- em algorithm
- covariance matrix
- closed form
- expectation maximization
- gaussian mixture model
- cost sensitive
- decision trees
- multi label
- density estimation
- support vector machine
- sample size
- upper bound
- probability density function
- model selection
- mixture model
- class imbalance
- active learning
- learning algorithm
- prediction accuracy
- ensemble methods
- classification error
- supervised learning
- learning tasks
- training set
- training data
- machine learning algorithms
- principal component analysis
- text classification
- prior knowledge
- pairwise
- graph cuts
- maximum likelihood