Learning theory of distributed spectral algorithms

• Published in: Inverse problems Vol. 33; no. 7; pp. 74009 - 74037
• Main Authors: Guo, Zheng-Chu, Lin, Shao-Bo, Zhou, Ding-Xuan
• Format: Journal Article
• Language: English
• Published: IOP Publishing 01.07.2017
• Subjects: distributed learning; integral operator; learning rate; spectral algorithm

Spectral algorithms have been widely used and studied in learning theory and inverse problems. This paper is concerned with distributed spectral algorithms, for handling big data, based on a divide-and-conquer approach. We present a learning theory for these distributed kernel-based learning algorit...