代码搜索:multivariate
找到约 564 项符合「multivariate」的源代码
代码结果 564
www.eeworm.com/read/411667/11234364
m gaussian_prob.m
function p = gaussian_prob(x, m, C, use_log)
% GAUSSIAN_PROB Evaluate a multivariate Gaussian density.
% p = gaussian_prob(X, m, C)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL
www.eeworm.com/read/147186/12578559
m gaussian_prob.m
function p = gaussian_prob(x, m, C, use_log)
% GAUSSIAN_PROB Evaluate a multivariate Gaussian density.
% p = gaussian_prob(X, m, C)
% p(i) = N(X(:,i), m, C) where C = covariance matrix and each COL
www.eeworm.com/read/223154/14652455
m mvfreqz.m
function [S,h,PDC,COH,DTF,DC,pCOH,dDTF,ffDTF, pCOH2, coh]=mvfreqz(B,A,C,N,Fs)
% MVFREQZ multivariate frequency response
% [S,h,PDC,COH,DTF,DC,pCOH,dDTF,ffDTF,pCOH2] = mvfreqz(B,A,C,N,Fs)
%
% INPUT
www.eeworm.com/read/170937/9779113
m mvfreqz.m
function [S,h,PDC,COH,DTF,DC,pCOH,dDTF,ffDTF, pCOH2, coh]=mvfreqz(B,A,C,N,Fs)
% MVFREQZ multivariate frequency response
% [S,h,PDC,COH,DTF,DC,pCOH,dDTF,ffDTF,pCOH2] = mvfreqz(B,A,C,N,Fs)
%
% INPUT
www.eeworm.com/read/227522/14421673
m mvfreqz.m
function [S,h,PDC,COH,DTF,DC,pCOH,dDTF,ffDTF, pCOH2, PDCF, coh]=mvfreqz(B,A,C,N,Fs)
% MVFREQZ multivariate frequency response
% [S,h,PDC,COH,DTF,DC,pCOH,dDTF,ffDTF,pCOH2,PDCF] = mvfreqz(B,A,C,N,Fs)
%
www.eeworm.com/read/396844/2407672
m gaussian_prob.m
function p = gaussian_prob(x, m, C, use_log)
% GAUSSIAN_PROB Evaluate a multivariate Gaussian density.
% p = gaussian_prob(x, m, C, use_log)
%
% p(i) = N(x(:,i), m, C) if use_log = 0 (default)
% p(i)
www.eeworm.com/read/343762/11928722
m mvfreqz.m
function [S,h,PDC,COH,DTF,DC,pCOH,dDTF,ffDTF, pCOH2, PDCF, coh,GGC,Af,GPDC,GGC2]=mvfreqz(B,A,C,N,Fs)
% MVFREQZ multivariate frequency response
% [S,h,PDC,COH,DTF,DC,pCOH,dDTF,ffDTF,pCOH2,PDCF,coh,GGC,
www.eeworm.com/read/367675/2832982
txt 8.txt
发信人: helloboy (hello), 信区: DataMining
标 题: Decision Tree&Neural Network
发信站: 南京大学小百合站 (Thu Aug 22 09:53:41 2002), 站内信件
C-Net: A Method for Generating Non-deterministic and Dynamic Multivariate D
www.eeworm.com/read/367675/2834115
txt 6.txt
发信人: ashun (阿顺), 信区: DataMining
标 题: 数据挖掘术语简介(六)
发信站: 南京大学小百合站 (Thu Aug 30 12:12:15 2001)
MARS
Multivariate Adaptive Regression Splines. MARS is a generalization of a decisi
on tree.
max
www.eeworm.com/read/367675/2835555
txt 67.txt
发信人: ashun (阿顺), 信区: DataMining
标 题: 数据挖掘术语简介(六)
发信站: 南京大学小百合站 (Thu Aug 30 12:12:15 2001)
MARS
Multivariate Adaptive Regression Splines. MARS is a generalization of a decisi
on tree.
max