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BayesANIL - A Bayesian Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classification

BayesANIL - A Bayesian Model for Handling Approximate, Noisy or Incomplete Labeling in Text Classification

This video was recorded at 22nd Annual International Conference on Machine Learning (ICML), Bonn 2005. The International Conference on Machine Learning (ICML) is worldwide the largest international conference on machine learning research and applications. ICML is supported by IMLS (International Machine Learning Society). ICML papers have been included in the ACM International Conference Proceedings Series, i.e., the proceedings are available at the ACM Digital Library.
Keywords:
videolectures, ocwc, oec
Disciplines:
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More about this material

Material Type:
Presentation
Date Added to MERLOT:
February 8, 2015
Date Modified in MERLOT:
February 8, 2015
Author:
Submitter:
The Open Education Consortium
Primary Audience:
College General Ed, College Lower Division, College Upper Division
Technical Format:
Video
Mobile Compatibility:
Not specified at this time
Language:
English
Cost Involved:
No
Source Code Available:
No
Accessibility Information Available:
Unknown
Creative Commons:
Creative Commons License
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States

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