... Mixture Models : Inference and Applications to Clus- tering . New York , NY : Marcel Dekker Inc. Meilă , M. and Chen , H. ( 2010 ) . Dirichlet process mixtures of generalized Mallows models . In Grünwald , P. and Spirtes , P. ( eds ) ...

In this dissertation, we develop two novel statistical models utilizing the Dirichlet process (DP) prior: (i) a DP-based hidden Markov mixture model, and (ii) multi-task compressive sensing.

... Dirichlet process mixtures of generalized mallows models . Uncertainty Artif . Intell . 1 ( 1 ) , 358–367 ( 2010 ) 17. Michalak , K .: Auto - adaptation of genetic operators for multi - objective optimiza- tion in the firefighter ...

Abstract: "We introduce Time-Sensitive Dirichlet Process Mixture models for clustering.

... Mallows CL (1957) Non-null ranking models. Biometrika 44(1–2):114–130 Megiddo N (1988) On the complexity of polyhedral separability. Discret Comput Geom 3(4): 325–337 Meila M, Chen H (2010) Dirichlet process mixtures of generalized mallows ...

... Algorithm for General Stable Marriage. In Proceedings of the 36th International Colloquium on Automata, Languages ... Dirichlet Process Mixtures of Generalized Mallows Models. In Proceedings of the 26th Conference on Uncertainty in ...

... models with two extensions: a Mallows model and a Dirichlet process mixture of generalized Mallows models. The first extension allows subjects to deviate from the main event sequence, and the latter clusters subjects according to ...

... Dirichlet process mixtures of generalized Mallows models. Such an extension is also possible using DEBM. Subject-specific event orderings estimated based on cross-sectional data are very noisy. Incorporating longitudinal data to get ...

This led us to study the impact of variational component splitting approach on mixture models based on several distributions.