laplace regularization
Semi-supervised Learning on Large Graphs: is Poisson Learning a Game-Changer?
We explain Poisson learning on graph-based semi-supervised learning to see if it could avoid the problem of global information loss problem as Laplace-based learning methods on large graphs. From our analysis, Poisson learning is simply Laplace regularization with thresholding, cannot overcome the problem.
Country:
- Asia > Japan > Honshū > Kansai > Kyoto Prefecture > Kyoto (0.05)
- North America > United States > New York (0.04)
- North America > United States > District of Columbia > Washington (0.04)
- (2 more...)