代码搜索：preprocessing
找到约 856 项符合「preprocessing」的源代码
代码结果 856
www.eeworm.com/read/445967/7587070
m example1d.m
function dum=example1D(n0)
%dum=example1D(n0)
%
% This function is an example of usage of all scalar and multiwavelet
% transforms built into MWMP.
% A random signal of given length is decom
www.eeworm.com/read/301959/13845479
m example1d.m
function dum=example1D(n0)
%dum=example1D(n0)
%
% This function is an example of usage of all scalar and multiwavelet
% transforms built into MWMP.
% A random signal of given length is decom
www.eeworm.com/read/228658/14371177
m example1d.m
function dum=example1D(n0)
%dum=example1D(n0)
%
% This function is an example of usage of all scalar and multiwavelet
% transforms built into MWMP.
% A random signal of given length is decom
www.eeworm.com/read/125092/14513533
m example1d.m
function dum=example1D(n0)
%dum=example1D(n0)
%
% This function is an example of usage of all scalar and multiwavelet
% transforms built into MWMP.
% A random signal of given length is decom
www.eeworm.com/read/168845/5433996
cpp reverse_iter_fold_impl.cpp
// Copyright Aleksey Gurtovoy 2002-4004
//
// Distributed under the Boost Software License, Version 1.0.
// (See accompanying file LICENSE_1_0.txt or copy at
// http://www.boost.org/LICENSE_1_
www.eeworm.com/read/190666/5179792
c undef1.c
/* { dg-do preprocess } */
/* 6.9.3.11: ...If there are sequences of preprocessing tokens within
the list of arguments that would otherwise act as preprocessing
directives, the behavior
www.eeworm.com/read/397106/8067607
m classifier_commands.m
% This is the "core" of the
%
%
function classifier_commands(command)
persistent Preprocessing_methods;
persistent Algorithms;
persistent Frameworks;
if (isempty(Preprocessing_methods) | isempty(Alg
www.eeworm.com/read/386050/8767284
m pls_transform.m
%pls_transform Partial Least Squares transformation
%
% T = pls_transform(X,R)
% T = pls_transform(X,R,Options)
%
% INPUT
% X [N -by- d_X] the input data matrix, N samples, d_X variables
www.eeworm.com/read/299984/7139934
m pls_transform.m
%pls_transform Partial Least Squares transformation
%
% T = pls_transform(X,R)
% T = pls_transform(X,R,Options)
%
% INPUT
% X [N -by- d_X] the input data matrix, N samples, d_X variables
www.eeworm.com/read/460435/7250409
m pls_transform.m
%pls_transform Partial Least Squares transformation
%
% T = pls_transform(X,R)
% T = pls_transform(X,R,Options)
%
% INPUT
% X [N -by- d_X] the input data matrix, N samples, d_X variables