Asymptotic Bayes risk for Gaussian mixture in a semi-supervised setting.
Marc LelargeLéo MiolanePublished in: CoRR (2019)
Keyphrases
- gaussian mixture
- bayes risk
- semi supervised
- loss function
- gaussian mixture model
- em algorithm
- upper and lower bounds
- expectation maximization
- probability density function
- covariance matrix
- closed form
- semi supervised learning
- mixture model
- reproducing kernel hilbert space
- density estimation
- labeled data
- posterior probability
- pairwise
- unsupervised learning
- unlabeled data
- active learning
- distortion measure
- worst case
- generative model
- regularization parameter
- computational complexity
- multiscale
- learning algorithm
- similarity measure