Publications
3 shownA Global Geometric Framework for Nonlinear Dimensionality Reduction
Scientists working with large volumes of high-dimensional data, such as global climate patterns, stellar spectra, or human gene distributions, regularly confront the problem of ...
Cost-sensitive learning by cost-proportionate example weighting
We propose and evaluate a family of methods for converting classifier learning algorithms and classification theory into cost-sensitive algorithms and theory. The proposed conve...
Frequent Co-Authors
Researcher Info
- h-index
- 3
- Publications
- 3
- Citations
- 14,134
- Institution
- Toyota Technological Institute at Chicago
External Links
Identifiers
- ORCID
- 0000-0002-9811-3550
Impact Metrics
h-index
3
h-index: Number of publications with at least h citations each.