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Title: Chapter1 Download
 Description: Matlab Bayesian Gauss implementation, mainly based on the Bayesian Gauss function matlab implementation
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Chapter1
........\examples
........\........\Contents.m
........\........\example1101.m
........\........\example131.m
........\........\example131.zip
........\........\example132.m
........\........\example133.m
........\........\example141.m
........\........\example142.m
........\........\example143.m
........\........\example151.m
........\........\example161.asv
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........\........\example162.asv
........\........\example162.m
........\........\example171.m
........\........\example181.m
........\........\example191.m
........\mfiles
........\......\bayes_classifier.m
........\......\compute_error.m
........\......\comp_gauss_dens_val.m
........\......\Contents.m
........\......\em_alg_function.asv
........\......\em_alg_function.m
........\......\EM_pdf_est.m
........\......\euclidean_classifier.m
........\......\gauss.m
........\......\Gaussian_ML_estimate.m
........\......\generate_gauss_classes.m
........\......\knn_density_estimate.m
........\......\k_nn_classifier.m
........\......\mahalanobis_classifier.m
........\......\mixture_Bayes.m
........\......\mixt_model.m
........\......\mixt_value.m
........\......\Parzen_gauss_kernel.m
........\......\plot_data.m
    

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