Algebraic and Analytic Approaches for Parameter Learning in Mixture Models.
Akshay KrishnamurthyArya MazumdarAndrew McGregorSoumyabrata PalPublished in: CoRR (2020)
Keyphrases
- mixture model
- parameter learning
- em algorithm
- generative model
- gaussian mixture model
- maximum likelihood
- expectation maximization
- density estimation
- probabilistic model
- conditional random fields
- higher order
- bayesian networks
- probability density function
- parameter estimation
- unsupervised learning
- pairwise
- maximum a posteriori
- machine learning
- model selection
- structure learning
- active learning