代码搜索：Fitting
找到约 695 项符合「Fitting」的源代码
代码结果 695
www.eeworm.com/read/386597/2570188
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/474600/6813517
m loglikelihood.m
function ll = loglikelihood(theta, patterns, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(patterns);
patterns = center_point * ones(1,r) - patterns;
www.eeworm.com/read/415311/11077195
m loglikelihood.m
function ll = loglikelihood(theta, features, h, center_point, cp_target)
% Used by the polynomial fitting algorithm
[c,r] = size(features);
features = center_point * ones(1,r) - features;
www.eeworm.com/read/200122/15440936
m lorenzlikmultip2.m
% PURPOSE : Fitting the Lorenz system model to noisy multiple-subject time series data
% AUTHOR: Sy-Miin Chow (schow@nd.edu)
% Portions of this script was adapted from previous scripts written by
www.eeworm.com/read/200122/15440940
m lorenzcontrolfin.m
% PURPOSE : Fitting the Lorenz system model to noisy time series data using
% particle filter with UKF proposal
% AUTHOR: Sy-Miin Chow (schow@nd.edu)
% Portions of this script was adapted from pr
www.eeworm.com/read/428849/8834847
m demo_svmpout.m
% DEMO_SVMPOUT Fitting a posteriory probability to SVM output.
%
% A posteriory probability p(y==1|f(x)) of the first class
% given SVM output f(x) is assumed to be sigmoid function.
% Parameters A(1
www.eeworm.com/read/371255/9559399
html index.html
Example of edge detection, edge linking, and line segment fitting
Example of edge detection, edge linking, and line
www.eeworm.com/read/362246/10010369
m demo_svmpout.m
% DEMO_SVMPOUT Fitting a posteriory probability to SVM output.
%
% A posteriory probability p(y==1|f(x)) of the first class
% given SVM output f(x) is assumed to be sigmoid function.
% Parameters A(1
www.eeworm.com/read/280595/10312261
m demo_svmpout.m
% DEMO_SVMPOUT Fitting a posteriory probability to SVM output.
%
% A posteriory probability p(y==1|f(x)) of the first class
% given SVM output f(x) is assumed to be sigmoid function.
% Parameters A(1
www.eeworm.com/read/416425/11029726
txt readme.txt
This package demomstrates an improved algorithm based on the local binary fitting (LBF) model in
Chunming Li et al's paper:
Chunming Li, Chiu-Yen Kao, John Gore, Zhaohua Ding "Implicit Active Co