Powered Dirichlet Process - Controlling the "Rich-Get-Richer" Assumption in Bayesian Clustering.
Gaël Poux-MédardJulien VelcinSabine LoudcherPublished in: ECML/PKDD (1) (2023)
Keyphrases
- nonparametric bayesian
- dirichlet process mixture models
- dirichlet process
- mixture modeling
- variational bayesian
- gaussian processes
- bayesian model
- posterior distribution
- clustering algorithm
- mixture model
- chinese restaurant process
- k means
- multi task learning
- variational inference
- markov chain monte carlo
- generative model
- bayesian framework
- density estimation
- bayesian networks
- sampling algorithm
- unsupervised learning
- support vector
- bayesian inference
- monte carlo
- expectation maximization
- maximum likelihood
- least squares
- data points