๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Nonlinear set-membership estimation: A support vector machine approach

โœ Scribed by Keesman, K. J.; Stappers, R.

Book ID
120106217
Publisher
Walter de Gruyter GmbH & Co. KG
Year
2004
Tongue
English
Weight
458 KB
Volume
12
Category
Article
ISSN
0928-0219

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

A Bayesian nonlinear support vector mach
A Bayesian nonlinear support vector machine error correction model
โœ Tony Van Gestel; Marcelo Espinoza; Bart Baesens; Johan A. K. Suykens; Carine Bra ๐Ÿ“‚ Article ๐Ÿ“… 2006 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 385 KB

The use of linear error correction models based on stationarity and cointegration analysis, typically estimated with least squares regression, is a common technique for financial time series prediction. In this paper, the same formulation is extended to a nonlinear error correction model using the i

Estimation theory for nonlinear models a
Estimation theory for nonlinear models and set membership uncertainty
โœ M. Milanese; A. Vicino ๐Ÿ“‚ Article ๐Ÿ“… 1991 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 612 KB

In this paper we study the problem of estimating a given function of a vector of unknowns, called the problem element, by using measurements depending nonlinearly on the problem element and affected by unknown but bounded noise. Assuming that both the solution sought and the measurements depend poly