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/114382/15055625
m binarymutation.m
function [parent] = binaryMutate(parent,bounds,Ops)
% Binary mutation changes each of the bits of the parent
% based on the probability of mutation
%
% function [newSol] = binaryMutate(parent,bounds,O
www.eeworm.com/read/208655/15239819
m binarymutation.m
function [parent] = binaryMutate(parent,bounds,Ops)
% Binary mutation changes each of the bits of the parent
% based on the probability of mutation
%
% function [newSol] = binaryMutate(parent,bounds,O
www.eeworm.com/read/187741/5216760
sci rnonuniformmutation.sci
function [parent] = RNonUniformMutation(parent,bounds,Ops)
// Non uniform mutation changes one of the parameters of the parent
// based on a non-uniform probability distribution. This Gaussian
//
www.eeworm.com/read/294145/3919659
readme
biterror
========
A simple channel simulation which can be used in a test
Simply inverts some bits with a predefined probability
block
=====
After the modules work with a very simple chain, it is
www.eeworm.com/read/429426/1948761
py ensemble2.py
# Description: Example of how to build ensamble learners in Orange. Takes a list of learners, and for prediction uses the highest predicted class probability.
# Category: modelling
# Uses:
www.eeworm.com/read/396844/2407136
readme
This directory contains examples of learning the structure of an HMM
using a min entropy prior.
Based on "Structure learning in conditional probability models via an entropic prior
and parameter
www.eeworm.com/read/378175/2689928
m binarymutation.m
function [parent] = binaryMutate(parent,bounds,Ops)
% Binary mutation changes each of the bits of the parent
% based on the probability of mutation
%
% function [newSol] = binaryMutate(parent,bounds,O
www.eeworm.com/read/158224/5597821
sci rnonuniformmutation.sci
function [parent] = RNonUniformMutation(parent,bounds,Ops)
// Non uniform mutation changes one of the parameters of the parent
// based on a non-uniform probability distribution. This Gaussian
//
www.eeworm.com/read/471348/6890548
m mut.m
% MUT.m
%
% This function takes the representation of the current population,
% mutates each element with given probability and returns the resulting
% population.
%
% Syntax: NewChrom = mut(Old
www.eeworm.com/read/393857/8258642
m binarymutation.m
function [parent] = binaryMutate(parent,bounds,Ops)
% Binary mutation changes each of the bits of the parent
% based on the probability of mutation
%
% function [newSol] = binaryMutate(parent,bounds,O