1 citations · 1 across the 1 of their papers we have counts for
5 papers
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 $…
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…
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…
Solution of linear ill-posed problems by model selection and aggregation
Felix Abramovich, Daniela De Canditiis, Marianna Pensky
We consider a general statistical linear inverse problem, where the solution is represented via a known (possibly overcomplete) dictionary that allows its sparse representation. We…
De-noising procedures for frame operators
Daniela De Canditiis, Marianna Pensky, Patrick J. Wolfe
The present paper provides a comprehensive study of de-noising properties of frames and, in particular, tight frames, which constitute one of the most popular tools in contemporary…