Maximum a-Posteriori Estimation for the Gaussian Mixture Model via Mixed Integer Nonlinear Programming.
Patrick FlahertyPitchaya WiratchotisatianJi Ah LeeAndrew C. TrappPublished in: CoRR (2019)
Keyphrases
- gaussian mixture model
- maximum a posteriori estimation
- mixed integer nonlinear programming
- gaussian distribution
- mixture model
- mixed integer linear programming
- maximum likelihood
- feature vectors
- em algorithm
- expectation maximization
- nonlinear programming
- feature space
- probability density function
- saddle point
- language model
- training data
- semi supervised
- reinforcement learning