Benign Overfitting in Binary Classification of Gaussian Mixtures.
Ke WangChristos ThrampoulidisPublished in: CoRR (2020)
Keyphrases
- binary classification
- gaussian mixture
- generalization error
- cross validation
- support vector
- multi class
- em algorithm
- cost sensitive
- learning problems
- probability density function
- active learning
- closed form
- support vector machine
- covariance matrix
- gaussian mixture model
- classification error
- expectation maximization
- multi label
- prediction accuracy
- model selection
- learning algorithm
- training data
- mixture model
- upper bound
- density estimation
- training set
- class imbalance
- ensemble methods
- sample size
- text categorization
- decision trees
- probabilistic model
- data sets
- kernel methods
- pairwise
- learning tasks
- supervised learning
- machine learning