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Introduction to artificial intelligence based on reproducing kernel Hilbert spaces / Sergei Pereverzyev.

By: Series: Publication details: Cham, Switzerland : Birkhäuser, 2022.Edition: Reprint 2026Description: xiv, 152 p. : ill. ; 22 cmISBN:
  • 9783032206756 (pbk.)
Subject(s): DDC classification:
  • 006.3 PER
Contents:
Introduction -- Learning in reproducing kernel Hilbert spaces and related integral operators -- Selected topics of the regularization theory -- Regularized learning in RKHS -- Examples of applications.
Summary: 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}
List(s) this item appears in: New Arrival 2026
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Books Central Library General stacks Non-fiction 006.3 PER (Browse shelf(Opens below)) Available NBHM BOOKS 2026-2027 236218

Includes bibliographical references and index.

Introduction -- Learning in reproducing kernel Hilbert spaces and related integral operators -- Selected topics of the regularization theory -- Regularized learning in RKHS -- Examples of applications.

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}

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