Asymptotic Bayes Risk for Gaussian Mixture in a Semi-Supervised Setting.
Marc LelargeLéo MiolanePublished in: CAMSAP (2019)
Keyphrases
- gaussian mixture
- bayes risk
- semi supervised
- loss function
- upper and lower bounds
- em algorithm
- covariance matrix
- closed form
- pairwise
- gaussian mixture model
- probability density function
- reproducing kernel hilbert space
- expectation maximization
- mixture model
- posterior probability
- semi supervised learning
- labeled data
- unlabeled data
- density estimation
- distortion measure
- unsupervised learning
- generative model
- maximum likelihood
- worst case
- active learning
- lower bound
- machine learning
- principal component analysis
- metric learning
- regularization parameter
- bayesian networks