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--- en:software:fem [2011/08/11 17:27] – tdenoeux
+++ en:software:fem [2011/08/11 17:29] – tdenoeux
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 The toolbox provides functions for the following problems:
-- normal mean and variance estimation from trapezoidal fuzzy data;
+  * normal mean and variance estimation from trapezoidal fuzzy data;
-- multiple linear regression with crisp inputs and trapezoidal fuzzy outputs;
+  * multiple linear regression with crisp inputs and trapezoidal fuzzy outputs;
-- univariate finite normal mixture estimation from trapezoidal fuzzy data.
+  * univariate finite normal mixture estimation from trapezoidal fuzzy data.
-References:
+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:publi:id178.pdf|pdf}}
+  - T. Denoeux. Maximum likelihood estimation from fuzzy data using the  EM algorithm. Fuzzy Sets and Systems, accepted for publication, 2011, doi:10.1016/j.fss.2011.05.022. {{en:publi:fem_v4.pdf|pdf}}
-  - T. Denoeux, Maximum likelihood estimation from Uncertain Data in the Belief Function Framework, IEEE Transactions on Knowledge and Data Engineering (to appear), 2011.
-{{en:software:e2m.zip|Download}}
+{{en:software:fem.zip|Download}}

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