Interpretable Mixture Density Estimation by use of Differentiable Tree-module.
Ryuichi KanohTomu YanabePublished in: CoRR (2021)
Keyphrases
- density estimation
- mixture model
- mixture modeling
- finite mixture model
- gaussian mixture model
- exponential family
- kernel density estimates
- expectation maximization
- em algorithm
- gaussian mixture
- density function
- mixture of gaussians
- probability density
- probability density function
- parzen window
- density estimators
- nonparametric density estimation
- generative model
- probabilistic model
- decision trees
- density estimates
- outlier detection
- kernel density estimation
- model selection
- data analysis
- information retrieval
- loss function
- index structure
- unsupervised learning
- maximum likelihood
- dirichlet distribution
- prior knowledge
- k means
- high dimensional
- training data
- multivariate gaussian distribution
- learning algorithm