Search Results for author:
Found 2 papers, 0 papers with code
Selective Harvesting over Networks
We find that it is possible to collect a much larger set of targets by using multiple classifiers, not by combining their predictions as an ensemble, but switching between classifiers used at each step, as a way to ease the tunnel vision effect.
Learning to Generate Networks
We investigate the problem of learning to generate complex networks from data.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
