Hierarchical Dirichlet Processes with Random Effects

Kim, Seyoung, Smyth, Padhraic

Dec-31-2007–Neural Information Processing Systems

In addition, each group is allowed to have its own component parameters coming from a prior described by a template mixture model.

artificial intelligence, hierarchical dp, machine learning, (19 more...)

Neural Information Processing Systems

Dec-31-2007

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Country:
- North America > United States > California > Orange County > Irvine (0.14)

Industry:
- Health & Medicine > Diagnostic Medicine > Imaging (0.94)

Technology:
- Information Technology > Artificial Intelligence
  - Representation & Reasoning > Uncertainty
    - Bayesian Inference (0.46)
  - Machine Learning > Learning Graphical Models
    - Directed Networks > Bayesian Learning (0.46)

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