代码搜索：Matrix
找到约 10,000 项符合「Matrix」的源代码
代码结果 10,000
www.eeworm.com/read/360995/10069958
m mog_p.m
function p = mog_P(x,covtype,means,invcovs,priors)
%MOG_P Compute the probability density of a Mixture of Gaussians
%
% P = MOG_P(X,COVTYPE,MEANS,INVCOVS,PRIORS)
%
% Calculate the probability de
www.eeworm.com/read/360995/10070003
m dlpdda.m
function W = dlpdda(x,nu,usematlab)
%DLPDDA Distance Linear Programming Data Description attracted by the Average distance
%
% W = DLPDDA(D,NU)
%
% This one-class classifier works directly on th
www.eeworm.com/read/360995/10070034
m dd_aic.m
function e = dd_aic(w,x)
%DD_AIC compute the Akaike Information Criterion for MoG
%
% E = DD_AIC(W,X)
%
% Compute the Akaike Information Criterion of the Mixture of
% Gaussians. We assume we have
www.eeworm.com/read/165197/10072573
m rls.m
function rls(A,b,Sigma)
%RLS Recursive Least Squares
% A is the coefficient matrix, b the observations and
% Sigma a vector containing the diagonal entries of
% the c
www.eeworm.com/read/360895/10072644
m validate.m
function [cost,nmodel,output] = validate(model, Xtrain, Ytrain, Xtest, Ytest,estfct, trainfct, simfct)
% Validate a trained model on a fixed validation set
%
% >> cost = validate({X,Y,type,gam,sig2}
www.eeworm.com/read/360770/10078826
m e232.m
%-----------------------------------------------------------------------
% Example 2.3.2: Matrix Determinant
%-----------------------------------------------------------------------
clc
www.eeworm.com/read/360770/10078834
m e225.m
%-----------------------------------------------------------------------
% Example 2.2.5: Matrix Inverse
%-----------------------------------------------------------------------
clc
www.eeworm.com/read/360770/10079109
m trifac.m
function [Q,Delta] = trifac (T)
%----------------------------------------------------------------------
% Usage: [Q,Delta] = trifac (T)
%
% Descripton: Factor an n by n tridiagonal coefficien
www.eeworm.com/read/360732/10080613
m isomap.m
function xy = Isomap(D,ndims,options);
% isomap - computes Isomap embedding using the algorithm of
% Tenenbaum, de Silva, and Langford (2000).
%
% xy = Isomap(X,ndims,options);
www.eeworm.com/read/164583/10100652
py modhmmer.py
#module that reads HMMER file and converts it to XML
import sys,re,string,StringIO
from xml.dom import minidom
def gotoLine(f,res):
rematch = None
r = " "
while (rematch is None) and (r