Pereverzyev, Sergei creator author. Cham, Switzerland Birkhäuser 2022 Reprint 2026 eng xiv, 152 p. : ill. ; 22 cm. Introduces statistical learning using reproducing kernel Hilbert spaces (RKHS) and regularization theory for the design and analysis of kernel-based artificial intelligence algorithms, with applications in supervised learning and biomedical problems. :contentReference[oaicite:1]{index=1} Introduction -- Learning in reproducing kernel Hilbert spaces and related integral operators -- Selected topics of the regularization theory -- Regularized learning in RKHS -- Examples of applications. Sergei Pereverzyev. Includes bibliographical references and index. Mathematics Artificial intelligence achine learning Reproducing kernel Hilbert spaces Kernel methods (Machine learning) Regularization (Statistics) Statistical learning 006.3 PER 9783032206756 (pbk.) 260729 20260729170145.0