most citedActive Learning on Trees and Graphs

41 citations · 73 across the 6 of their papers we have counts for

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cs.LG2013

See the Tree Through the Lines: The Shazoo Algorithm -- Full Version --

Fabio Vitale, Nicolo Cesa-Bianchi, Claudio Gentile +1

Predicting the nodes of a given graph is a fascinating theoretical problem with applications in several domains. Since graph sparsification via spanning trees retains enough inform…

cs.LG20131 cited

A Correlation Clustering Approach to Link Classification in Signed Networks -- Full Version --

Nicolo Cesa-Bianchi, Claudio Gentile, Fabio Vitale +1

Motivated by social balance theory, we develop a theory of link classification in signed networks using the correlation clustering index as measure of label regularity. We derive l…

cs.LG2013

A Linear Time Active Learning Algorithm for Link Classification -- Full Version --

Nicolo Cesa-Bianchi, Claudio Gentile, Fabio Vitale +1

We present very efficient active learning algorithms for link classification in signed networks. Our algorithms are motivated by a stochastic model in which edge labels are obtaine…

cs.LG201341 cited

Active Learning on Trees and Graphs

Nicolo Cesa-Bianchi, Claudio Gentile, Fabio Vitale +1

We investigate the problem of active learning on a given tree whose nodes are assigned binary labels in an adversarial way. Inspired by recent results by Guillory and Bilmes, we ch…

cs.LG201230 cited

Random Spanning Trees and the Prediction of Weighted Graphs

Nicolo' Cesa-Bianchi, Claudio Gentile, Fabio Vitale +1

We investigate the problem of sequentially predicting the binary labels on the nodes of an arbitrary weighted graph. We show that, under a suitable parametrization of the problem,…