Time-Sensitive Dirichlet Process Mixture Models

Abstract

We introduce Time-Sensitive Dirichlet Process Mixture models for clustering. The models allow infinite mixture components just like standard Dirichlet process mixture models. However, they also have the ability to model time correlations between instances.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 2005
Accession Number
ADA456106

Entities

People

  • John D. Lafferty
  • Xiaojin Zhu
  • Zoubin Ghahramani

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Artificial Intelligence
  • Clustering
  • Computer Science
  • Data Science
  • Electronic Mail
  • Generative Models
  • Information Science
  • Iterations
  • Machine Learning
  • Models
  • Monte Carlo Method
  • Network Science
  • Probabilistic Models
  • Probability
  • Sampling

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