no code implementations • EACL 2017 • Roy Bar-Haim, Indrajit Bhattacharya, Francesco Dinuzzo, Amrita Saha, Noam Slonim
Recent work has addressed the problem of detecting relevant claims for a given controversial topic.
no code implementations • 27 Dec 2015 • Jean-Baptiste Fiot, Francesco Dinuzzo
We explore the application of kernel-based multi-task learning techniques to forecast the demand of electricity in multiple nodes of a distribution network.
no code implementations • NeurIPS 2012 • Krikamol Muandet, Kenji Fukumizu, Francesco Dinuzzo, Bernhard Schölkopf
This paper presents a kernel-based discriminative learning framework on probability measures.
no code implementations • NeurIPS 2012 • Francesco Dinuzzo, Bernhard Schölkopf
In particular, the main result of this paper implies that, for a sufficiently large family of regularization functionals, radial nondecreasing functions are the only lower semicontinuous regularization terms that guarantee existence of a representer theorem for any choice of the data.