2 citations · 2 across the 3 of their papers we have counts for
4 papers
An algorithm for a constrained P-spline
Rosanna Campagna, Serena Crisci, Gabriele Santin +2
Regression splines are largely used to investigate and predict data behavior, attracting the interest of mathematicians for their beautiful numerical properties, and of statisticia…
Reproduction Capabilities of Penalized Hyperbolic-polynomial Splines
Rosanna Campagna, Costanza Conti
This paper investigates two important analytical properties of hyperbolic-polynomial penalized splines, HP-splines for short. HP-splines, obtained by combining a special type of di…
Greedy algorithms for learning via exponential-polynomial splines
Rosanna Campagna, Stefano De Marchi, Emma Perracchione +1
Kernel-based schemes are state-of-the-art techniques for learning by data. In this work we extend some ideas about kernel-based greedy algorithms to exponential-polynomial splines,…
Data-driven extrapolation via feature augmentation based on variably scaled thin plate splines
Rosanna Campagna, Emma Perracchione
The data driven extrapolation requires the definition of a functional model depending on the available data and has the application scope of providing reliable predictions on the u…