Material Detail
Ranking Individuals by Group Comparisons
This video was recorded at Machine Learning Summer School (MLSS), Taipei 2006. We discuss the problem of ranking individuals from their group competition results. Many real-world problems are of this type. For example, ranking players from team games is important in some sports. In machine learning, this is closely related to multi-class classification and probability estimates. We propose new models for estimating individuals' abilities, and hence rankings of individuals. We develop easy and effective solution procedures. Experiments on real bridge records and multi-class classification demonstrate the viability of the proposed models.
Quality
- User Rating
- Comments
- Learning Exercises
- Bookmark Collections
- Course ePortfolios
- Accessibility Info
More about this material
- Mobile Compatibility:
- Not specified at this time
- Language:
- English
- Cost Involved:
- No
- Source Code Available:
- No
- Accessibility Information Available:
- Unknown
- Creative Commons:
-
This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
