Electrical & Computer Engineering Faculty Publications

Document Type

Article

Publication Date

4-13-2012

Abstract

In this paper we study the theoretical limits of finite constructive convex approximations of a given function in a Hilbert space using elements taken from a reduced subset. We also investigate the trade-off between the global error and the partial error during the iterations of the solution. The results obtained constitute a refinement of well-established convergence analysis for constructive iterative sequences in Hilbert spaces with applications in projection pursuit regression and neural network training.

Language (ISO)

English

Sponsorship

Proceedings European Signal Processing Conference, EUSIPCO, 96

Comments

Pre-Print

Download

Share

COinS