代码搜索：Probability

找到约 4,670 项符合「Probability」的源代码

代码结果 4,670
热门代码： main.c GPIO I2C SPI UART timer interrupt ADC PWM LED
www.eeworm.com/read/164019/10135165

m bayesnd.m

function [A,B,C]=bayesnd(P1,P2,M1,M2,C1,C2) % BAYESND computes parameters of quadratic discriminat function. % [A,B,C]=bayesnd(P1,P2,M1,M2,C1,C2) % % BAYESND calculates discrimination function fo
·
www.eeworm.com/read/359573/10137083

html 05-08.html

APPLIED CRYPTOGRAPHY, SECOND EDITION: Protocols, Algorithms, and Source Code in C:Advanced Protocols
·
www.eeworm.com/read/359519/10140774

m contents.m

% MCMC -- Markov Chain Monte Carlo Tools % Copyright (c) 1998, Harvard University. Full copyright in the file Copyright % % There are three parts to this library of routines. % 1. *[rnd,pdf,lpr].m - d
·
www.eeworm.com/read/161538/10398354

txt changes.txt

MATLAB Interface for LIBSVM =========================== Version 1.2 (12-Sep-2005) ------------------------- - Now using LIBSVM 2.8. - Alternative output formats (as vectors). - Added sup
·
www.eeworm.com/read/159921/10587866

m bayesnd.m

function [A,B,C]=bayesnd(P1,P2,M1,M2,C1,C2) % BAYESND computes parameters of quadratic discriminat function. % [A,B,C]=bayesnd(P1,P2,M1,M2,C1,C2) % % BAYESND calculates discrimination function fo
·
www.eeworm.com/read/421949/10676553

m bayesnd.m

function [A,B,C]=bayesnd(P1,P2,M1,M2,C1,C2) % BAYESND computes parameters of quadratic discriminat function. % [A,B,C]=bayesnd(P1,P2,M1,M2,C1,C2) % % BAYESND calculates discrimination function fo
·
www.eeworm.com/read/420306/10804707

m contents.m

% MCMC -- Markov Chain Monte Carlo Tools % Copyright (c) 1998, Harvard University. Full copyright in the file Copyright % % There are three parts to this library of routines. % 1. *[rnd,pdf,lpr].m - d
·
www.eeworm.com/read/270992/11013570

m chess.m

%chess.m/created by PJNahin for "Duelling Idiots"(5/17/98) %This m-file computes the probabilities, in an N-game chess %match, of the match ending in a tie, in a win for the champ, or %in a win for
·
www.eeworm.com/read/463000/7190796

txt readme-chap7.txt

% % README Chapter 7 % % by Hiroshi Harada % % If you have any bugs and questions in our simulation programes, please e-mail % to harada@ieee.org. We try to do our best to answer your questions.
·
www.eeworm.com/read/458010/7314165

m gaussmix.m

function [m,v,w,g,f,pp,gg]=gaussmix(x,c,l,m0,v0,w0) %GAUSSMIX fits a gaussian mixture pdf to a set of data observations [m,v,w,g,f]=(x,c,l,m0,v0,w0) % % Inputs: n data values, k mixtures, p paramet
·