6 citations · 12 across the 4 of their papers we have counts for
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stat.ML2019★ 6 cited
A global approach for learning sparse Ising models
Daniela De Canditiis
We consider the problem of learning the link parameters as well as the structure of a binary-valued pairwise Markov model. Under sparsity assumption, we propose a method based on $…
stat.ME2019★ 3 cited
Learning Gaussian Graphical Models by symmetric parallel regression technique
Daniela De Canditiis, Armando Guardasole
In this contribution we deal with the problem of learning an undirected graph which encodes the conditional dependence relationship between variables of a complex system, given a s…
stat.ME2019★ 2 cited
Simultaneous nonparametric regression in RADWT dictionaries
Daniela De Canditiis, Italia De Feis
A new technique for nonparametric regression of multichannel signals is presented. The technique is based on the use of the Rational-Dilation Wavelet Transform (RADWT), equipped wi…