代码搜索：Reduction
找到约 701 项符合「Reduction」的源代码
代码结果 701
www.eeworm.com/read/306748/13738928
c sqrt.c
/* sqrt.c
*
* Square root
*
*
*
* SYNOPSIS:
*
* double x, y, sqrt();
*
* y = sqrt( x );
*
*
*
* DESCRIPTION:
*
* Returns the square root of x.
*
* Range reduction involves isol
www.eeworm.com/read/119864/6081880
c sqrt.c
/* sqrt.c
*
* Square root
*
*
*
* SYNOPSIS:
*
* double x, y, sqrt();
*
* y = sqrt( x );
*
*
*
* DESCRIPTION:
*
* Returns the square root of x.
*
* Range reduction involves isol
www.eeworm.com/read/359185/6352472
m hdr.m
function [features, targets] = HDR(features, targets, New_dim, region)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_feature
www.eeworm.com/read/493206/6398450
m hdr.m
function [features, targets] = HDR(features, targets, New_dim, region)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_feature
www.eeworm.com/read/263889/11337695
m noiserschreiber.m
function xr=noiserSchreiber(x,K,L,r,repeat,auto)
%Syntax: xr=noiserSchreiber(x,K,L,r,repeat,auto)
%_______________________________________________
%
% Geometrical noise reduction for a time series
www.eeworm.com/read/405069/11472153
m hdr.m
function [patterns, targets] = HDR(patterns, targets, New_dim)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_patterns - Inpu
www.eeworm.com/read/255925/12046086
m noiserschreiber.m
function xr=noiserSchreiber(x,K,L,r,repeat,auto)
%Syntax: xr=noiserSchreiber(x,K,L,r,repeat,auto)
%_______________________________________________
%
% Geometrical noise reduction for a time series
www.eeworm.com/read/339293/12244264
m sec11_82.m
% Section 11.8.2 Reduction of an aero-engine controller
%
% This script calculates the results and the plots shown in section 11.8.2
% in the book.
%
% Dependencies: file aeroK.mat (aero-
www.eeworm.com/read/131588/14136140
m hdr.m
function [features, targets] = HDR(features, targets, New_dim, region)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_feature
www.eeworm.com/read/129915/14217589
m hdr.m
function [features, targets] = HDR(features, targets, New_dim, region)
%Reduce the dimensions of the data points using the hierarchical dimensionality reduction algorithm
%Inputs:
% train_feature