代码搜索：validation
找到约 7,219 项符合「validation」的源代码
代码结果 7,219
www.eeworm.com/read/176805/9483903
m rjsann.m
function [k,mu,alpha,ypred,ypredv,post] = rjsann(x,y,chainLength,Ndata,bFunction,par,xv,yv);
% PURPOSE : Computes the parameters and number of parameters of a radial basis function (RBF)
% n
www.eeworm.com/read/164272/10120034
m psplit.m
function [tx,ty,vx,vy]=pslit(x,y,p)
%
% Positional percentage split
%
% p defines the position to split the data
% 0-p (%) = training
% p-100 (%) = validation
%
[D L]=size(x);
tsiz
www.eeworm.com/read/359573/10136995
html 06-02.html
APPLIED CRYPTOGRAPHY, SECOND EDITION: Protocols, Algorithms, and Source Code in C:Esoteric Protocols
www.eeworm.com/read/355229/10284557
m rjnn.m
function [k,mu,alpha,sigma,nabla,delta,ypred,ypredv,post] = rjnn(x,y,chainLength,Ndata,bFunction,par,xv,yv);
%
% =============================
if nargin < 5, error('Not enough input arguments.'); end;
www.eeworm.com/read/280633/10301804
m rjsann.m
function [k,mu,alpha,ypred,ypredv,post] = rjsann(x,y,chainLength,Ndata,bFunction,par,xv,yv);
% PURPOSE : Computes the parameters and number of parameters of a radial basis function (RBF)
% n
www.eeworm.com/read/161855/10361015
1 mailcross.1
\" t
.TH MAILCROSS 1 "Bayesian Text Classification Tools" "Version 1.3" ""
.SH NAME
mailcross \- a cross-validation tester for use with dbacl.
.SH SYNOPSIS
.HP
.B mailcross
.I command
[
.I command_a
www.eeworm.com/read/159990/10581428
java exceptiondemo8.java
/**
*A simple user-defined exception handling program.pay more attention!
*2004.12.27. xhcprince
*"The return statement may be used in the catch block to return the control
* back to the exception
www.eeworm.com/read/159990/10581472
java exceptiondemo7.java
/**
*A simple exception handling program using throws
*"In the method declaration,
* specify the type of exception thst can be thrown,using the throws modifier"
*2004.12.26. xhcprince
*/
class
www.eeworm.com/read/159601/10635824
m psplit.m
function [tx,ty,vx,vy]=pslit(x,y,p)
%
% Positional percentage split
%
% p defines the position to split the data
% 0-p (%) = training
% p-100 (%) = validation
%
[D L]=size(x);
tsiz
www.eeworm.com/read/349916/10782752
m psplit.m
function [tx,ty,vx,vy]=pslit(x,y,p)
%
% Positional percentage split
%
% p defines the position to split the data
% 0-p (%) = training
% p-100 (%) = validation
%
[D L]=size(x);
tsiz