PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Granular regression
Bruno Apolloni, Domenico Iannizzi, Dario Malchiodi and Witold Pedrycz
In: WIRN 2005, 8-11 Jun 2005, Vietri sul Mare (SA), Italy.

Abstract

We augment a linear regression procedure by a thruth-func\-tional method in order to identify a highly informative regression line. The idea is to use statistical methods to identify a confidence region for the line and exploit the structure of the sample data falling in this region for identifying the most fitting line. The fitness function is related to the fuzziness of the sampled points as a natural extension of the statistical criterion ruling the identification of the confidence region within the Algorithmic Inference approach. We tested the method on three well known benchmarks.

EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
ID Code:1337
Deposited By:Dario Malchiodi
Deposited On:28 November 2005