64 search results - page 6 / 13 » Regression with interval output values |
AUTOMATICA
2005
13 years 7 months ago
2005
In this paper we present a new method of interval fuzzy model identification. The method combines a fuzzy identification methodology with some ideas from linear programming theory...
PKC
2007
Springer
14 years 1 months ago
2007
Springer
Damg˚ard et al. [11] showed a novel technique to convert a polynomial sharing of secret a into the sharings of the bits of a in constant rounds, which is called the bit-decomposit...
NCI
2004
13 years 9 months ago
2004
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
ML
2006
ACM
13 years 7 months ago
2006
ACM
Abstract This paper proposes a new tree-based ensemble method for supervised classification and regression problems. It essentially consists of randomizing strongly both attribute ...
CPAIOR
2010
Springer
14 years 11 days ago
2010
Springer
Interval coefficients have been introduced in OR and CP to specify uncertain data in order to provide reliable solutions to convex models. The output is generally a solution set, ...