en:software:fem
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| en:software:fem [2011/08/11 17:26] – created tdenoeux | en:software:fem [2011/08/11 17:28] – tdenoeux | ||
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| The toolbox provides functions for the following problems: | The toolbox provides functions for the following problems: | ||
| - | - normal mean and variance estimation from trapezoidal fuzzy data; | ||
| - | - multiple linear regression with crisp inputs and trapezoidal fuzzy outputs; | ||
| - | - univariate finite normal mixture estimation from trapezoidal fuzzy data. | ||
| - | References: | + | * normal mean and variance estimation from trapezoidal fuzzy data; |
| + | * multiple linear regression with crisp inputs and trapezoidal fuzzy outputs; | ||
| + | * univariate finite normal mixture estimation from trapezoidal fuzzy data. | ||
| + | |||
| + | Reference: | ||
| - T. Denoeux. Maximum likelihood from evidential data: an extension of the EM algorithm. In C. Borgelt et al. (Eds), Combining soft computing and statistical methods in data analysis (Proceedings of SMPS 2010, Oviedo, Spain, September 28 - October 1, 2010), Advances in Intelligent and Soft Computing, pages 181-188, Springer, 2010. {{en: | - T. Denoeux. Maximum likelihood from evidential data: an extension of the EM algorithm. In C. Borgelt et al. (Eds), Combining soft computing and statistical methods in data analysis (Proceedings of SMPS 2010, Oviedo, Spain, September 28 - October 1, 2010), Advances in Intelligent and Soft Computing, pages 181-188, Springer, 2010. {{en: | ||
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en/software/fem.txt · Last modified: 2011/08/11 17:30 by tdenoeux
