代码搜索：Problem
找到约 10,000 项符合「Problem」的源代码
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www.eeworm.com/read/418779/10916795
txt 428.txt
Rule:
--
Sid:
428
--
Summary:
This event is generated when a host generates and ICMP Parameter Problem datagram with an undefined ICMP Code.
--
Impact:
ICMP datagrams should never contain undefi
www.eeworm.com/read/418731/10933918
txt using google as a calculator, a tutorial.txt
How to use the Google calculator:
Google抯 calculator tries to understand the problem you are attempting to solve without requiring you to use special syntax. However, it may be helpful to know the
www.eeworm.com/read/272894/10937252
dpr ex.dpr
{
Faint, the problem's statement is uncompletely.
Two rivers are intersecting iff they have the same nodes
Crossing in segments excluding their ends isn't considered intersecting.
}
program Ur
www.eeworm.com/read/469655/6972929
m pen1.m
% Penalty I function
% -------------------
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% function [fvec,J]=pen1(n,m,x,option)
% Dimensions -> n=variable, m=n+1
% Problem no. 23
% Standard
www.eeworm.com/read/469416/6976330
m demev1.m
%DEMEV1 Demonstrate Bayesian regression for the MLP.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/469416/6976360
m demhmc1.m
%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians.
%
% Description
% The problem consists of generating data from a mixture of two
% Gaussians in two dimensions using a
www.eeworm.com/read/469416/6976363
m demev3.m
%DEMEV3 Demonstrate Bayesian regression for the RBF.
%
% Description
% The problem consists an input variable X which sampled from a
% Gaussian distribution, and a target variable T generated by c
www.eeworm.com/read/469416/6976407
m demknn1.m
%DEMKNN1 Demonstrate nearest neighbour classifier.
%
% Description
% The problem consists of data in a two-dimensional space. The data is
% drawn from three spherical Gaussian distributions with
www.eeworm.com/read/469416/6976423
m~ demhmc1.m~
%DEMHMC1 Demonstrate Hybrid Monte Carlo sampling on mixture of two Gaussians.
%
% Description
% The problem consists of generating data from a mixture of two
% Gaussians in two dimensions using a
www.eeworm.com/read/469416/6976477
m demglm1.m
%DEMGLM1 Demonstrate simple classification using a generalized linear model.
%
% Description
% The problem consists of a two dimensional input matrix DATA and a
% vector of classifications T. Th