@article{eprints1758,
         journal = {Information Processing Letters},
       publisher = {Elsevier},
          author = {Giorgio Gnecco and Marcello Sanguineti},
          volume = {110},
          number = {23},
           pages = {1031 -- 1036},
           title = {On Spectral Windows In Supervised Learning From Data },
            year = {2010},
        keywords = {Analysis of algorithms; Learning from data; Regularization;
Suboptimal solutions; Empirical error functionals; Probabilistic estimates },
             url = {http://eprints.imtlucca.it/1758/},
        abstract = {For Tikhonov regularization in supervised learning from data, the effect on the regularized solution of a joint perturbation of the regression function and the data is investigated. Spectral windows in the finite-sample and population cases are compared via probabilistic estimates of the differences between regularized solutions. }
}