Machine learning for access and retrieval II

Posted in Science on July 23, 2008


Machine learning for access and retrieval II

Lecture slides:

  • Hidden Markov Models with Applications
  • Outline
  • Clustering by Mixture Models
  • Clustering
  • Approaches to Clustering
  • Mixture Model-based Clustering
  • Mixture of Normals
  • Advantages
  • EM Algorithm
  • EM for the Mixture of Normals
  • Computation Issues
  • Examples
  • Classification Likelihood
  • Classification EM
  • Outline

Author: Jia Li, Pennsylvania State University

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Tags: Science, Lectures, Computer Science, Clustering, Machine Learning, VideoLectures.Net, Markov Processes