代码搜索:Probabilities

找到约 751 项符合「Probabilities」的源代码

代码结果 751
www.eeworm.com/read/430518/1927809

h histo.h

/* This file provides the bit-probabilities for the input file */ #define BIT_DIVIDER 629 static int bits[9] = { 179,167,183,165,159,198,178,119,}; /* ia32 .so files */
www.eeworm.com/read/398200/2385043

h histo.h

/* This file provides the bit-probabilities for the input file */ #define BIT_DIVIDER 629 static int bits[9] = { 179,167,183,165,159,198,178,119,}; /* ia32 .so files */
www.eeworm.com/read/386083/8765243

m comp_exam7_1.m

% Fig. 3-5; Bit error probabilities for binary signaling; % a vector of correlation coefficients between signals is allowed % clf R12 = input('Enter vector of desired R_1_2 values; maximum of 4 ')
www.eeworm.com/read/297233/8042456

c gcov.c

/* Gcov.c: prepend line execution counts and branch probabilities to a source file. Copyright (C) 1990, 91, 92, 93, 94, 96, 1997 Free Software Foundation, Inc. Contributed by James E. Wilson
www.eeworm.com/read/408292/11398134

m adj_logistic.m

function y=adj_logistic(x) %y=adj_logistic(x) computes probabilities for adjacent-categories logistic %model %for nd arrays, sum over dimension nd %if only one vector, use row vector! %if si
www.eeworm.com/read/396844/2407104

m mk_rnd_dag_given_edge_prob.m

function dag = sample_dag(P) % SAMPLE_DAG Create a random directed acyclic graph with edge probabilities P(i,j) % dag = sample_dag(P) % % This uses rejection sampling to reject graphs with directed cy
www.eeworm.com/read/387862/8650066

cpp modelorder0c.cpp

#include "ModelOrder0C.h" ModelOrder0C::ModelOrder0C() { // initialize probabilities with 1 mTotal = 257; // 256 + escape symbol for termination for( unsigned int i=0; i
www.eeworm.com/read/196836/8055238

m init_trans.m

function [P] = init_trans (K, av_dur, ns) % function [P] = init_trans (K, av_dur, ns) % % Initialise state transition matrix to specified % average state duration density. The remaining probabilities
www.eeworm.com/read/16731/685882

m init_trans.m

function [P] = init_trans (K, av_dur, ns) % function [P] = init_trans (K, av_dur, ns) % % Initialise state transition matrix to specified % average state duration density. The remaining probabilities
www.eeworm.com/read/288877/8596884

txt propose.m.txt

function q = Propose(p,m) % q = Propose(p,m) % propose q given state p and model m % Colin Fox, 19 Jan 2003 ratio = [1 4 1 4]; % ratio of move probabilities %moveprob = ratio/sum(ratio); %mo