On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy.
Caleb DahlkeJason PachecoPublished in: NeurIPS (2023)
Keyphrases
- gaussian mixture
- closed form
- mixtures of gaussians
- em algorithm
- gaussian mixture model
- probability density function
- expectation maximization
- covariance matrix
- density estimation
- mixture of gaussians
- probability density
- gaussian density
- kl divergence
- information theory
- information theoretic
- mixture model
- mutual information
- kullback leibler divergence
- data mining
- distance measure
- higher order
- feature vectors
- lower bound
- training data
- information retrieval