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en:software:fem [2011/08/11 17:26] – created tdenoeuxen:software:fem [2011/08/11 17:30] (current) 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.
  
-  - T. Denoeux. Maximum likelihood from evidential dataan 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}} +Reference:
-  - 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}}+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}} 
 + 
 +{{en:software:fem.zip|Download}}
  

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