@article{Nadira_Abdessamad_Sidi Mohamed_2019, title={Regularized Jacobi Wavelets Kernel for Support Vector Machines}, volume={7}, url={http://iapress.org/index.php/soic/article/view/soic.v7i4.1204}, DOI={10.19139/soic-2310-5070-634}, abstractNote={<p>A new family of regularized Jacobi wavelets is constructed. Based on this Jacobi wavelets, a new kernel for support vector machines is presented. Using kernel and frame theory, the Reproducing Kernel Hilbert Space of this kernel is identified. We show that without being a universal kernel, the proposed one possesses a good separation property and a big ability to extract more discriminative features. These theoretical results are confirmed and supported by numerical experiments.</p&gt;}, number={4}, journal={Statistics, Optimization & Information Computing}, author={Nadira, Abbassa and Abdessamad, Amir and Sidi Mohamed, Bahri}, year={2019}, month={Dec.}, pages={669-685} }