Combining Graph Laplacians for Semi--Supervised Learning
Argyriou, Andreas, Herbster, Mark, Pontil, Massimiliano
–Neural Information Processing Systems
A foundational problem in semi-supervised learning is the construction of a graph underlying the data. We propose to use a method which optimally combines a number of differently constructed graphs.
Neural Information Processing Systems
Dec-31-2006
- Country:
- North America > United States
- New York (0.04)
- Massachusetts > Middlesex County
- Cambridge (0.05)
- California > Santa Clara County
- Palo Alto (0.04)
- Europe > United Kingdom
- England (0.04)
- Asia > Middle East
- Jordan (0.04)
- North America > United States
- Technology: