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/386597/2570159
m hmm_generate.m
function out = HMM_generate(a,b,initial,seq_len)
% Generate a Markov sequence
%
% Inputs:
% a - Transition probability matrix
% b - Output generator matrix
% initial - Initial state
%
www.eeworm.com/read/386597/2570163
m hmm_forward_backward.m
function [a, b] = HMM_Forward_Backward(a, b, V)
% Find the probability transition matrices a,b from sample data using the forward-backward algorithm
%
% Inputs:
% a - Initial estimate of the
www.eeworm.com/read/383749/2614548
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/371404/2780175
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/369092/2803201
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/361774/2943666
dmx cluster5probabilitydistflattened.dmx
--Cluster assignment and probability distribution for 250 customers
--Using FLATTENED keyword
SELECT FLATTENED TOP 1250 t.FirstName, t.LastName, t.Profit
, ClusterProbability(), PredictH
www.eeworm.com/read/471212/6899511
m mexgraphgeneratepoissonrandomgraph.m
function Graph = mexGraphGeneratePoissonRandomGraph(N,p)
% Creates Erdos and Renyi directed graph of N nodes with probability p to have edge between every 2 nodes.
%
% Receives:
% N - integer -
www.eeworm.com/read/394782/8206884
readme
***** README MI 0.9 ****
Mutual information computation, conditional probability and entropy estimation for
discrete/categorical variables.
by Hanchuan Peng, 2007-May-3.
Address update: Note that t
www.eeworm.com/read/170936/9779359
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/415313/11076666
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