代码搜索：Contents
找到约 10,000 项符合「Contents」的源代码
代码结果 10,000
www.eeworm.com/read/352445/10551901
m contents.m
% DiscreteTFDs
% Version 0.8 08-Jul-1999
%
% Changes - Log of changes from previous versions.
% Copyright - Copyright Information
% DTFDPath.m - File that needs to called from your star
www.eeworm.com/read/352442/10552363
m contents.m
% Higher-Order Spectral Analysis Toolbox.
% Version 2.0.3 (R12 compliant) 27 Dec 2000
%
% New Features.
% Readme - Important release information about the HOSA Toolbox
%
www.eeworm.com/read/423311/10570738
m contents.m
%本目录包含
% 薛定宇著：科学运算语言 MATLAB 5.3 程序设计与应用，清华大学
% 出版社，2000
%书中作者编写的所有函数，而书中例题的源程序在matlab_codes文件
%中给出。
% 本目录中既包含M函数，也包含下面各种类型的文件：
% VB 源程序、窗体文件、VBP程序与可执行文件；
% Mex 格式的 C 程序与 DLL 文件；
% ...
www.eeworm.com/read/159921/10587767
m contents.m
% General purpose and others functions for STPRToolbox.
%
% cerror - Calculates classifier error.
% cliplin1 - Clips line according to given window.
% cliplin2 - Clips line starting i
www.eeworm.com/read/159921/10587853
m contents.m
% Bayes Classification.
%
% bayeserr - Computes the Bayesian risk for optimal classifier.
% bayescln - Classifier based on Bayes decision rule for Gaussians.
% bayesnd - Discrim. function, dic
www.eeworm.com/read/159921/10587882
m contents.m
% Statistical Pattern Recognition Toolbox.
%
% Contents
%
% bayes - (dir) Bayes classification.
% datasets - (dir) Functions for handling with data sets.
% generalp - (dir) General purpose
www.eeworm.com/read/159921/10587889
m contents.m
% Minimax learning algorithm.
%
% mmdemo - Demonstration of the minimax learning algorithm.
% mmln - Minimax learning algorithm for estimation of
% normal distribut
www.eeworm.com/read/159921/10587903
m contents.m
% Unsupervised statistical learning methods.
%
% unsudemo - Demo of unsupervised learning methods for 2D feature space.
%
% mln - Compute value of logarihm of the likelihood function.
www.eeworm.com/read/159921/10587927
m contents.m
% Statistical learning methods.
%
% Included directories (implementing algorithms):
% minimax - (dir) Minimax learning algorithm.
% unsuper - (dir) Unsupervised learning methods, EM algori
www.eeworm.com/read/159921/10587935
m contents.m
% Principal Component Analysis.
%
% kernelpca - Non-linear version of PCA.
% pkenrelpca - Vizualizes Kernel-PCA mapping in 2D.
% spca - Standard linear PCA (Karhunen-Loeve).
%
%