代码搜索：conditional
找到约 2,177 项符合「conditional」的源代码
代码结果 2,177
www.eeworm.com/read/164422/10108696
m mixgauss_prob.m
function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm)
% EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians
% function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma,
www.eeworm.com/read/425546/10348632
m clg_mstep.m
function [mu, Sigma, B] = clg_Mstep(w, Y, YY, YTY, X, XX, XY, varargin)
% MSTEP_CLG Compute ML/MAP estimates for a conditional linear Gaussian
% [mu, Sigma, B] = Mstep_clg(w, Y, YY, YTY, X, XX, XY,
www.eeworm.com/read/349646/10808464
m mixgauss_prob.m
function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm)
% EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians
% function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma
www.eeworm.com/read/349646/10808468
m clg_mstep.m
function [mu, Sigma, B] = clg_Mstep(w, Y, YY, YTY, X, XX, XY, varargin)
% MSTEP_CLG Compute ML/MAP estimates for a conditional linear Gaussian
% [mu, Sigma, B] = Mstep_clg(w, Y, YY, YTY, X, XX, XY,
www.eeworm.com/read/349646/10809022
m mixgauss_prob.m
function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm)
% EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians
% function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma
www.eeworm.com/read/349646/10809035
m clg_mstep.m
function [mu, Sigma, B] = clg_Mstep(w, Y, YY, YTY, X, XX, XY, varargin)
% MSTEP_CLG Compute ML/MAP estimates for a conditional linear Gaussian
% [mu, Sigma, B] = Mstep_clg(w, Y, YY, YTY, X, XX, XY,
www.eeworm.com/read/469416/6976078
m mixgauss_prob.m
function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm)
% EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians
% function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma
www.eeworm.com/read/469416/6976082
m clg_mstep.m
function [mu, Sigma, B] = clg_Mstep(w, Y, YY, YTY, X, XX, XY, varargin)
% MSTEP_CLG Compute ML/MAP estimates for a conditional linear Gaussian
% [mu, Sigma, B] = Mstep_clg(w, Y, YY, YTY, X, XX, XY,
www.eeworm.com/read/140851/13058324
m mixgauss_prob.m
function [B, B2] = mixgauss_prob(data, mu, Sigma, mixmat, unit_norm)
% EVAL_PDF_COND_MOG Evaluate the pdf of a conditional mixture of Gaussians
% function [B, B2] = eval_pdf_cond_mog(data, mu, Sigma
www.eeworm.com/read/140851/13058336
m clg_mstep.m
function [mu, Sigma, B] = clg_Mstep(w, Y, YY, YTY, X, XX, XY, varargin)
% MSTEP_CLG Compute ML/MAP estimates for a conditional linear Gaussian
% [mu, Sigma, B] = Mstep_clg(w, Y, YY, YTY, X, XX, XY,