代码搜索：Classify
找到约 2,639 项符合「Classify」的源代码
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www.eeworm.com/read/259886/11760052
m demop1.m
%% Classification with a 2-input Perceptron
% A 2-input hard limit neuron is trained to classify 5 input vectors into two
% categories.
%
% Copyright 1992-2002 The MathWorks, Inc.
% $Revision: 1.
www.eeworm.com/read/344238/11897489
java compareints.java
// control/CompareInts.java
// TIJ4 Chapter Control, Exercise 2, page 139
/* Write a program that generates 25 random int values. For each value, use an
* if-else statement to classify it as greate
www.eeworm.com/read/131588/14136384
m ho_kashyap.m
function [D, w_percept, b] = Ho_Kashyap(train_features, train_targets, params, region)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% features - Train features
% targets -
www.eeworm.com/read/131588/14136436
m ml_ii.m
function D = ML_II(train_features, train_targets, Ngaussians, region)
% Classify using the ML-II algorithm. This function accepts as inputs the maximum number
% of Gaussians per class and returns
www.eeworm.com/read/129915/14217766
m ho_kashyap.m
function [D, w_percept, b] = Ho_Kashyap(train_features, train_targets, params, region)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% features - Train features
% targets -
www.eeworm.com/read/129915/14217801
m ml_ii.m
function D = ML_II(train_features, train_targets, Ngaussians, region)
% Classify using the ML-II algorithm. This function accepts as inputs the maximum number
% of Gaussians per class and returns
www.eeworm.com/read/38039/1090938
mnu cornend.mnu
CLASSIFY_END 规定端部
#
None 无
This will be a standard blind end
这将是标准盲端。
Blind 盲孔
This will be an extra drilled blind end
这将是过度钻孔盲端
www.eeworm.com/read/216502/4891655
c ti.c
/* ti.c: classify line intersections */
# include "t..c"
/* determine local environment for intersections */
interv(i,c)
{
int ku, kl;
if (c>=ncol || c == 0)
{
if (dboxflg)
{
if (i==0) return(B
www.eeworm.com/read/216499/4892373
1 file.1
.th FILE I 1/16/75
.sh NAME
file \*- determine file type
.sh SYNOPSIS
.bd file
file ...
.sh DESCRIPTION
.it File
performs a series of tests on each argument
in an attempt to classify it.
If an argumen
www.eeworm.com/read/199528/5076117
java classifieddatum.java
package edu.stanford.nlp.classify;
import edu.stanford.nlp.dbm.Datum;
import edu.stanford.nlp.process.Appliable;
/**
* Stores a classified Datum with predicted and correct labels.
*/
public class