Aug 15, 2008 · When adopting PLMs, one has to adopt an appropriate threshold (lambda) value. However, choosing such a value is by no means trivial, and is ...

Abstract—Based on possibility concepts, various possibilistic lin- ear models (PLMs) have been proposed, and their pivotal role in.

This paper proposes a solution by first extending the PLM to its regularized version, i.e., a regularized PLM (RPLM), such that its generalization ...

Theoretical Choice of the Optimal Threshold for Possibilistic Linear Model With Noisy Input · H. GeK. F. ChungShitong Wang. Computer Science, Mathematics. IEEE ...

In order to determine the optimal choice of the parameter h (i.e., the threshold value used to measure degree of fit) in Possibilistic Linear Model (PLM) with ...

Ge, H., F.L. Chung and S. Wang, 2008. Theoretical choice of the optimal threshold for possibilistic linear model with noisy input. IEEE Trans. Fuzzy Syst., 16: ...

Oct 9, 2024 · Ge et al. propose that the optimal threshold in possibilistic models is inversely related to the standard deviation of input noise, providing a ...

Oct 1, 2007 · Theoretically optimal parameter choices for support vector regression machines with noisy input. Internat. J. Soft Comput., 9 (10) (2005), pp ...

Theoretical Choice of the Optimal Threshold for Possibilistic Linear Model With Noisy Input · Hongwei Ge · Fu-Lai Chung · Shitong Wang.

Theoretical choice of the optimal threshold for possibilistic linear model with noisy input. IEEE Trans. Fuzzy. Syst., 16(4):1027–1037, 2008. [8] P.-Y. Hao ...