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数学计算 Using Gaussian elimination to solve linear equations.
Using Gaussian elimination to solve linear equations.
数学计算 Using Gaussian elimination to solve linear equations. // In this version, we allow matrix of any si
Using Gaussian elimination to solve linear equations.
// In this version, we allow matrix of any size. This is done by treating
// the name of a 2-dimensional array as pointer to the beginning of the
// array. This makes use of the fact that arrays in C are stored in
// row-major order.
人工智能/神经网络 gaussian mixture modelling in matlab
gaussian mixture modelling in matlab
matlab例程 gaussian algorithm for Bayesian Model Selection
gaussian algorithm for Bayesian Model Selection
数学计算 计算高斯各阶导函数的C程序 Computing Gaussian derivative waveforms of any order. Dgwaveform efficiently cre
计算高斯各阶导函数的C程序
Computing Gaussian derivative waveforms of any order.
Dgwaveform efficiently creates Gaussian derivative wavelets
其他 gaussian procession 原程序,用于解决分类问题,有兴趣可以看看啊
gaussian procession 原程序,用于解决分类问题,有兴趣可以看看啊
matlab例程 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
...
matlab例程 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
...
其他书籍 sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a G
sbgcop: Semiparametric Bayesian Gaussian copula estimation
This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
...
matlab例程 Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) tak
Creates a Gaussian mixture model with specified architecture.MIX = GMM(DIM, NCENTRES, COVARTYPE) takes the dimension of the space
DIM, the number of centres in the mixture model and the type of the
mixture model, and returns a data structure MIX.