Academic Press Library in Signal Processing

Chapter 17

Online Learning in Reproducing Kernel Hilbert Spaces

Konstantinos Slavakis*, Pantelis Bouboulis^† and Sergios Theodoridis^†,    ^*University of Peloponnese, Department of Telecommunications Science and Technology, Karaiskaki St., Tripolis 22100, Greece,    ^†University of Athens, Department of Informatics and Telecommunications, Ilissia, Athens 15784, Greece

Abstract

Online learning has been at the center of focus in signal processing learning tasks for many decades, since the early days of the LMS and Kalman filtering and it has already found its place in a wide range of diverse applications and practical systems. More recently, together with the birth of new disciplines, such as information retrieval and bioinformatics, a new necessity ...