代码搜索:Probability

找到约 4,670 项符合「Probability」的源代码

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www.eeworm.com/read/381560/9085082

h ga.h

// GA.h: interface for the GA class. // ////////////////////////////////////////////////////////////////////// #include #if !defined(AFX_GA_H__36707D34_93BC_4503_BBA8_DBFD1DCBA46C__I
www.eeworm.com/read/184443/9100265

m ranwalk2d.m

function [rwproc] = ranwalk2d(npoints, p) % RANWALK2D generate and plot the process (X(n), Y(n)), where % X and Y are random walks which start at 0, jump up with % probability p and down with p
www.eeworm.com/read/184267/9114087

m entropy.m

function h=entropy(p) % H=ENTROPY(P) returns the entropy function of % the probability vector P. if length(find(p
www.eeworm.com/read/379733/9179958

m display.m

function display(a) % DISPLAY Display a probability distribution object % Copyright (C) 2002 Harri Valpola and Antti Honkela. % % This package comes with ABSOLUTELY NO WARRANTY; for details % see Lic
www.eeworm.com/read/182374/9205794

m laplaceestimator.m

function[Table] = LaplaceEstimator(totcliq,NPoints,Table) % Modify the probability tables using Laplace estimator for i=1:totcliq, cardcliq = size(Table{i},1); Table{i} = (Tabl
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m fillprobtables.m

function[Table] = FillProbTables(totcliq,ListCliques,ListCliqAccCard,D,P,Table) % Fill the probability tables for all cliques from the data in D and probability in P NPoints = size(D,1) for
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todo

* BUG#14 -- qagil The extrapolation used in qags gives negative results when integrating the small tails of probability distributions using qagil, even though each individual term in the sequence is
www.eeworm.com/read/179210/9365131

asv ga3d.asv

function [x,y,fx,vx,vmfit,P] = ga3d(v,ger,pc,pm); % % Ph.D. Thesis % Leandro Nunes de Castro % November, 1999. % ENHANCED GENETIC ALGORITHM - Bi-classist Selection % % Secondary functions: DECODE &
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m ga3d.m

function [x,y,fx,vx,vmfit,P] = ga3d(v,ger,pc,pm); % % Ph.D. Thesis % Leandro Nunes de Castro % November, 1999. % ENHANCED GENETIC ALGORITHM - Bi-classist Selection % % Secondary functions: DECODE &
www.eeworm.com/read/177674/9442509

m gtmprob.m

function prob = gtmprob(net, data) %GTMPROB Probability for data under a GTM. % % Description % PROB = GTMPROB(NET, DATA) takes a GTM structure NET, and computes % the probability of each point in th