Algebraic and Analytic Approaches for Parameter Learning in Mixture Models.
Akshay KrishnamurthyArya MazumdarAndrew McGregorSoumyabrata PalPublished in: ALT (2020)
Keyphrases
- regression model
- mixture model
- model selection
- parameter learning
- em algorithm
- generative model
- expectation maximization
- gaussian mixture model
- probabilistic model
- density estimation
- maximum likelihood
- bayesian networks
- conditional random fields
- structure learning
- cross validation
- graph cuts
- language model
- semi supervised
- active learning
- unsupervised learning
- data sets
- feature space
- training data
- decision trees
- data mining