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Title: M-Estimators Download
 Description: Robust cost functions that based on M-Estimators and used as cost functions in order to robustify the learning algorithms for feed-forward neural networks
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M-Estimators\BP_LMLS_Test.asv
............\BP_LMLS_Test.m
............\breakdownpoint.m
............\case_b_data_generator.m
............\DatosSinEstruct.mat
............\dLMLS.m
............\dLMS.m
............\dLTSerror.m
............\dmcauchy.m
............\dmfair.m
............\dmgm.m
............\dmhuber.asv
............\dmhuber.m
............\dml1.m
............\dml2.m
............\dmse.m
............\dmsetao.m
............\dmtukey.m
............\dmwelsch.m
............\LMLS.m
............\mcauchy.m
............\MEBDP1.m
............\MEBDP2.m
............\mfair.m
............\mgm.m
............\mhuber.asv
............\mhuber.m
............\ml1.m
............\ml2.m
............\moumen.m
............\msetao.m
............\mtukey.asv
............\mtukey.m
............\mwelsch.m
............\Ruidogross10porciento.mat
............\Ruidogross490porciento.mat
............\RuidoSinEstruct.mat
............\variabRuidoGauss10P.mat
M-Estimators
    

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