代码搜索：Nearest
找到约 1,596 项符合「Nearest」的源代码
代码结果 1,596
www.eeworm.com/read/223114/14656509
m mahalclassifer.m
function [ClassRate] = MahalClassifer(train_pattern, train_label, test_pattern,test_label,a)
%%%%%%%%%%%%%%%%% this function is for mean nearest classifier
% a for mix mahal distance
% m for eachnu
www.eeworm.com/read/222632/14681926
frm main.frm
VERSION 5.00
Begin VB.Form Form1
BorderStyle = 1 'Fixed Single
Caption = "K-nearest-neighbor algorithm"
ClientHeight = 6630
ClientLeft = 45
ClientTop
www.eeworm.com/read/213240/15139948
m dd_ex1.m
% DD_EX1
%
% Example of the creation of a One-Class problem, and the solutions
% obtained by the Nearest Neighbor Data Description and the Support
% Vector Data Description. Furthermore, the ROC curve
www.eeworm.com/read/13871/284589
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/487231/1239320
pas make.pas
const minx = 0;
maxx = 40000;
miny = 0;
maxy = 40000;
var i,j,n:longint;
begin
assign(output,'Nearest.in');
rewrite(output);
randomize;
read(n);
www.eeworm.com/read/487231/1239322
pas make.pas
const minx = 0;
maxx = 40000;
miny = 0;
maxy = 40000;
var i,j,n:longint;
begin
assign(output,'Nearest.in');
rewrite(output);
randomize;
read(n);
www.eeworm.com/read/251838/4414543
m offline_loopy_slam.m
% We navigate a robot around a square using a fixed control policy and no noise.
% We assume the robot observes the relative distance to the nearest landmark.
% Everything is linear-Gaussian.
%%%%%%%
www.eeworm.com/read/251522/4418880
m offline_loopy_slam.m
% We navigate a robot around a square using a fixed control policy and no noise.
% We assume the robot observes the relative distance to the nearest landmark.
% Everything is linear-Gaussian.
%%%%%%%
www.eeworm.com/read/215485/4903505
m offline_loopy_slam.m
% We navigate a robot around a square using a fixed control policy and no noise.
% We assume the robot observes the relative distance to the nearest landmark.
% Everything is linear-Gaussian.
%%%%%%%