caa a22 4500 475801059 CHVBK 20180406123737.0 cr unu---uuuuu 170329e20000201xx s 000 0 eng 10.1023/A:1009636300083 doi (NATIONALLICENCE)springer-10.1023/A:1009636300083 Evaluating the Generalization Ability of Support Vector Machines through the Bootstrap [Elektronische Daten] [Davide Anguita, Andrea Boni, Sandro Ridella] The well-known bounds on the generalizationability of learning machines, based on the Vapnik-Chernovenkis (VC) dimension,are very loose when applied to Support Vector Machines (SVMs).In this work we evaluate the validity of the assumption that these bounds are,nevertheless, good indicators of the generalization ability of SVMs.We show that this assumption is, in general, true and assessits correctness, in a statistical sense, on several pattern recognition benchmarks throughthe use of the bootstrap technique. Kluwer Academic Publishers, 2000 bootstrap nationallicence generalization nationallicence support vector machines nationallicence VC dimension nationallicence Anguita Davide Dept. of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11a, 16145, Genova, Italy aut Boni Andrea Dept. of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11a, 16145, Genova, Italy aut Ridella Sandro Dept. of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11a, 16145, Genova, Italy aut Neural Processing Letters Kluwer Academic Publishers 11/1(2000-02-01), 51-58 1370-4621 11:1<51 2000 11 11063 https://doi.org/10.1023/A:1009636300083 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1009636300083 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Anguita Davide Dept. of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11a, 16145, Genova, Italy aut NATIONALLICENCE 700 1- Boni Andrea Dept. of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11a, 16145, Genova, Italy aut NATIONALLICENCE 700 1- Ridella Sandro Dept. of Biophysical and Electronic Engineering, University of Genova, Via Opera Pia 11a, 16145, Genova, Italy aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers 11/1(2000-02-01), 51-58 1370-4621 11:1<51 2000 11 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer