代码搜索：Probability
找到约 4,670 项符合「Probability」的源代码
代码结果 4,670
www.eeworm.com/read/318394/3569773
m randint.m
function out = randint(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) generat
www.eeworm.com/read/316580/3610201
m randint.m
function out = randint(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) generat
www.eeworm.com/read/291441/3966965
m randint.m
function out = randint(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) generat
www.eeworm.com/read/273525/4208533
hlp graph_other.hlp
{smcl}
{* 23mar2005}{...}
{cmd:help graph other}
{hline}
{* index other graph commands}{...}
{* index symmetry plots}{...}
{* index quantile plots}{...}
{* index normal probability plots}{...}
www.eeworm.com/read/268254/4254751
m randint.m
function out = randint(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) generat
www.eeworm.com/read/431649/1905314
m randint.m
function out = randint(varargin);
%RANDINT Generate matrix of uniformly distributed random integers.
% OUT = RANDINT generates a "0" or "1" with equal probability.
%
% OUT = RANDINT(M) generat
www.eeworm.com/read/418634/2087116
properties rblscanner.properties
# RealTimeBlackholeList Properties File
# The "unknown" probability
med-prob=0.5
# The maximum number of RBL servers that can be specified
max-rbls=20
# If true, ALL received headers are pars
www.eeworm.com/read/396844/2406721
m gmmactiv.m
function a = gmmactiv(mix, x)
%GMMACTIV Computes the activations of a Gaussian mixture model.
%
% Description
% This function computes the activations A (i.e. the probability
% P(X|J) of the data con
www.eeworm.com/read/386597/2570147
m hmm_forward.m
function [Pout, Alpha] = HMM_Forward(a, b, initial_state, V)
% Find the probability of a finite state in a Markov chain using the HMM forward algorithm
%
% Inputs:
% a - Transition probabili
www.eeworm.com/read/386597/2570158
m hmm_backward.m
function [Pout, Beta] = HMM_Backward(a, b, final_state, V)
% Find the probability of a finite state in a Markov chain using the HMM backward algorithm
%
% Inputs:
% a - Transition probabilit