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ce_gauss

于 2010-06-13 发布文件大小:32KB

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下载积分: 1 下载次数: 14

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Multivariate Gaussian Mixture Model Optimization by Cross Entropy

文件列表：

ce_mvgm.m,13068,2008-06-07
corr2cov.c,2626,2010-03-15
cov2corr.c,2612,2010-03-14
dirichlet_mle.c,7363,2010-03-15
dirirnd.c,6052,2010-03-15
license.txt,1336,2010-03-14
loglike_mvgm.c,13410,2010-03-15
mexme_ce_gauss.m,213,2010-03-15
mvgmmpdf.c,12361,2010-03-15
ndellipse.c,12111,2010-01-04
randnt.c,14946,2010-03-15
sample_gaussian_mixture.m,1786,2008-06-06
sample_mvgm.c,20298,2010-03-15
test_ce_mvgm.m,3005,2008-06-07

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稀疏性最小二乘支持向量机，针对最小二乘支持向量机缺少稀疏性的问题，以特征提取为基础提出具有稀疏性解的最小瓶二乘支持向量机(Sparsity LSSVM for LSSVM lack sparsity issues to feature extraction is proposed based on the solution of sparse least squares support vector machine bottle)

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