Pereverzyev, Sergei, <br/><br/>
Introduction to artificial intelligence based on reproducing kernel Hilbert spaces / 
Sergei Pereverzyev. 
 - Reprint 2026 
 - Cham, Switzerland :  Birkhäuser,  2022. 
 - xiv, 152 p. :  ill. ;  22 cm. 
 - .
<br/><br/>Includes bibliographical references and index. 
<br/><br/>Introduction -- Learning in reproducing kernel Hilbert spaces and related integral operators -- Selected topics of the regularization theory -- Regularized learning in RKHS -- Examples of applications. 
<br/><br/> 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]<br/> 
<br/><br/><label>ISBN: </label>9783032206756 (pbk.) 
<br/><br/><label>Subjects--Topical Terms: </label><br/>Mathematics<br/>Artificial intelligence.<br/>achine learning.<br/>Reproducing kernel Hilbert spaces.<br/>Kernel methods (Machine learning)<br/>Regularization (Statistics)
<br/><br/><label>Subjects--Geographic Terms: </label><br/>Statistical learning.
<br/><br/><label>Dewey Class. No.: </label>006.3 PER