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/139952/13119395
c userint.c
/*************************************************************************/
/* */
/* User interface for consulting trees and rulesets */
/* --------------------------------------------
www.eeworm.com/read/325790/13185079
m pyx.m
function pr=pyx(obj,y,x,t,u);
% Calculates p(y|x), ie the probability of y given x.
%
% Syntax: (* = optional)
%
% pr = pyx(model, y, x, t, u);
%
% In arguments:
%
% 1. model
% Model object.
www.eeworm.com/read/325790/13185166
m pyx.m
function pr=pyx(obj,y,x,t,u);
% Calculates p(y|x), ie the probability of y given x.
%
% Syntax: (* = optional)
%
% pr = pyx(model, y, x, t, u);
%
% In arguments:
%
% 1. model
% Model object.
www.eeworm.com/read/325790/13185227
m pyx.m
function pr=pyx(obj,y,x,t,u);
% Calculates p(y|x), ie the probability of y given x.
%
% Syntax: (* = optional)
%
% pr = pyx(model, y, x, t, u);
%
% In arguments:
%
% 1. model
% Model object.
www.eeworm.com/read/138798/13211340
m dirichletpdf.m
function p = dirichletpdf(x, alpha)
%DIRICHLETPDF Dirichlet probability density function.
% p = dirichletpdf(x, alpha) returns the probability of vector
% x under the Dirichlet distribution with p
www.eeworm.com/read/138798/13212425
m mdnpost.m
function [post, a] = mdnpost(mixparams, t)
%MDNPOST Computes the posterior probability for each MDN mixture component.
%
% Description
% POST = MDNPOST(MIXPARAMS, T) computes the posterior probabi
www.eeworm.com/read/323953/13306645
m expected.m
function e=expected(funfcn,a,b,tol,p1,p2,p3)
% EXPECTED Finds the expected value of a random variable
% with probability density function 'funfcn' and
% support [a,b].
% Y=EXPECTED('F'
www.eeworm.com/read/238965/13312479
m prob_snr1.m
% This program is used to produce Fig. 2.4
close all
clear all
for nfa = 2:2:12
b = sqrt(-2.0 * log(10^(-nfa)));
index = 0;
hold on
for snr = 0:.1:18
index = index +1;
www.eeworm.com/read/323831/13314076
h lmngram.h
// Copyright (C) 2003 Darren Moore (moore@idiap.ch)
//
// This file is part of Torch 3.
//
// All rights reserved.
//
// Redistribution and use in source and binary forms, with