Title :
Regression with interval output values
Author :
Kashima, Hisashi ; Yamasaki, Kazutaka ; Inokuchi, Akihiro ; Saigo, Hiroto
Author_Institution :
IBM Tokyo Res. Lab., Tokyo
Abstract :
We consider a regression problem where target values are given as intervals, and propose a statistical approach to it. Although it is hard to solve the optimization problem directly, we propose an approximation method based on the EM algorithm. Experiments using the benchmark datasets show effectiveness of our approach.
Keywords :
approximation theory; optimisation; regression analysis; approximation method; interval output values; optimization problem; regression problem; statistical approach; Approximation algorithms; Approximation methods; Chemical compounds; Laboratories; Machine learning algorithms; Marketing and sales; Optimization methods; Pattern recognition; Project management; Statistics;
Conference_Titel :
Pattern Recognition, 2008. ICPR 2008. 19th International Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
978-1-4244-2174-9
Electronic_ISBN :
1051-4651
DOI :
10.1109/ICPR.2008.4761270
