<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "An Adaptive Learning-by-Examples Methodology for Accurate Crack Characterization in NDT-NDE Problems"^^ . "This document presents an adaptive learning-by-examples (LBE) inversion strategy for the accurate and real-time characterization of a defect within a planar conductive structure. More precisely, the developed technique exploits a Partial Least Squares (PLS) linear feature extraction strategy in order to compress the relevant information about the underlying relationship between defect and measurements into a small set of predictive features. Successively, an innovative adaptive sampling strategy is exploited in order to collect a set of N input-output (I/O) training pairs such that an even exploration of the PLS-extracted feature space is obtained. Such a training database is then used to train a Support Vector Regressor (SVR) for building an accurate and robust estimator of the crack dimensions starting from ECT measurements. Some numerical results are shown in order to validate the proposed approach also when a non-negligible amount of noise is superimposed on testing data."^^ . "2016" . . . "University of Trento"^^ . . . . . . . . . . . . . . . . "G."^^ . "Oliveri"^^ . "G. Oliveri"^^ . . "M."^^ . "Salucci"^^ . "M. Salucci"^^ . . "N."^^ . "Anselmi"^^ . "N. Anselmi"^^ . . "A."^^ . "Massa"^^ . "A. Massa"^^ . . . . . . "An Adaptive Learning-by-Examples Methodology for Accurate Crack Characterization in NDT-NDE Problems (Text)"^^ . . . "An_Adaptive_Learning-by-Examples_Methodology_for_Accurate_Crack_Characterization_in_NDT-NDE_Problems.v2.pdf"^^ . . "HTML Summary of #715 \n\nAn Adaptive Learning-by-Examples Methodology for Accurate Crack Characterization in NDT-NDE Problems\n\n" . "text/html" . . . "M LBE Learning-by-Example Methods"@en . .