66 citations · 104 across the 6 of their papers we have counts for
3 papers · 1 filter
Semi-supervised learning by search of optimal target vector
Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro +1
We introduce a semi-supervised learning estimator which tends to the first kernel principal component as the number of labelled points vanishes. Our approach is based on the notion…
Identification of network modules by optimization of ratio association
Leonardo Angelini, Stefano Boccaletti, Daniele Marinazzo +2
We introduce a novel method for identifying the modular structures of a network based on the maximization of an objective function: the ratio association. This cost function arises…
Kernel method for clustering based on optimal target vector
Leonardo Angelini, Daniele Marinazzo, Mario Pellicoro +1
We introduce the notion of optimal target vector, and describe how it creates a link between supervised and unsupervised learning. We exploit this notion to construct Ising models,…