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/457219/7332064
m mutate.m
function out=mutate(in,pmutate);
%
% Mutate the incoming chromasome
% with a probability of mutating
% each string of pmutate.
%
% This file takes only one member
% of the overall population.
www.eeworm.com/read/456869/7337948
readme
Python-to-libsvm interface
Table of Contents
=================
- Introduction
- Installation
- Usage
- Examples
Introduction
============
Python (http://www.python.org/) is a programming language
www.eeworm.com/read/452217/7445248
m mutate.m
function out=mutate(in,pmutate);
%
% Mutate the incoming chromasome
% with a probability of mutating
% each string of pmutate.
%
% This file takes only one member
% of the overall population.
www.eeworm.com/read/206731/7456982
m mutate.m
function out=mutate(in,pmutate);
%
% Mutate the incoming chromasome
% with a probability of mutating
% each string of pmutate.
%
% This file takes only one member
% of the overall population.
www.eeworm.com/read/451457/7463478
h probenc.h
#if !defined(_probenc_H)
# define _probenc_H (1)
# include "probmod.h"
# include "entenc.h"
/*Encodes a single symbol using the given probability model and entropy
encoder.
_sym: The symbol to e
www.eeworm.com/read/449504/7502629
m shapirofrancia.m
function [statistic, pval, H] = shapirofrancia(x,tails,probability)
% PURPOSE:
% This function performs that Shapiro-Francia Test for normality of the data
% This is an omnibus test, and is gen
www.eeworm.com/read/448350/7534514
m gaussmixp.m
function [lp,rp,kh,kp]=gaussmixp(y,m,v,w,a,b)
%GAUSSMIXP calculate probability densities from a Gaussian mixture model
%
% Inputs: n data values, k mixtures, p parameters, q data vector size
%
%
www.eeworm.com/read/447973/7542885
m defaultimmparameters.m
%%% DynaEst 3.032 10/22/2000
% Copyright (c) 2000 Yaakov Bar-Shalom
%
% DefaultIMMParameters : Generate default parameters for Linear, CT, NCT IMM algorithm
% IMM MARKOV CHAIN PARAMETERS:
www.eeworm.com/read/444698/7608163
readme
Python-to-libsvm interface
Introduction
============
Python (http://www.python.org/) is a programming language suitable for
rapid development. This python-to-libsvm interface is developed so
users