代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
代码结果 2,639
www.eeworm.com/read/123657/14619202
h ctype.h
/*
* Character classification macros for MICRO-C
*
* These macros classify the passed character based on a table
* lookup. The accepted range of character values which may be
* tested is (0
www.eeworm.com/read/191729/5163193
java collectionclassifier.java
// Broken - incorrect use of overloading! - Page 128
import java.util.*;
public class CollectionClassifier {
public static String classify(Set s) {
return "Set";
}
publ
www.eeworm.com/read/191729/5163262
java collectionclassifier.java
// Broken - incorrect use of overloading! - Page 128
import java.util.*;
public class CollectionClassifier {
public static String classify(Set s) {
return "Set";
}
publ
www.eeworm.com/read/179693/5302457
java collectionclassifier.java
// Broken - incorrect use of overloading! - Page 128
import java.util.*;
public class CollectionClassifier {
public static String classify(Set s) {
return "Set";
}
publ
www.eeworm.com/read/405754/2285303
c kd_pnn.c
/*
# proc: pnnsearch - given init "close" vectors "centers" locate the nearest
# proc: neighbors in a tree and classify points using a truncated
# proc: pnn metric.
# proc: lea
www.eeworm.com/read/400494/2352304
texi ctype.texi
@node Character Handling, String and Array Utilities, Memory Allocation, Top
@chapter Character Handling
Programs that work with characters and strings often need to classify a
character---is it alph
www.eeworm.com/read/359217/2979208
m test.m
% test program to continiously capture pictures from the camera and
% classify it using CMVISION
%
% try..
% >> test
%
% ... or
%
% >> test(2, 100, 100, 50, 200)
function test(varargin)
www.eeworm.com/read/252327/4409674
java item.java
package softwarecompanyserver;
public class Item {
private String name;
private String id;
private String classify;
private String time;
private String money;
public I
www.eeworm.com/read/191902/8417279
m locboost.m
function [D, P, theta, phi] = LocBoost(features, targets, params, region)
% Classify using the local boosting algorithm
% Inputs:
% features - Train features
% targets - Train targets
% par
www.eeworm.com/read/177129/9468927
m locboost.m
function [D, P, theta, phi] = LocBoost(features, targets, params, region)
% Classify using the local boosting algorithm
% Inputs:
% features - Train features
% targets - Train targets
% par