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/410924/11264788
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/405069/11472286
m ho_kashyap.m
function [test_targets, w_percept, b] = Ho_Kashyap(train_patterns, train_targets, test_patterns, params)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/131588/14136175
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/129915/14217618
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/208414/4993087
h pgpfiletype.h
/*
* pgpFileType.h - classify files
*
* Copyright (C) 1993-1997 Pretty Good Privacy, Inc. All rights reserved.
*
* $Id: pgpFileType.h,v 1.3.2.1 1997/06/07 09:51:41 mhw Exp $
*/
#ifndef
www.eeworm.com/read/199528/5076116
java abstractlinearclassifierfactory.java
package edu.stanford.nlp.classify;
import java.util.*;
import java.lang.ref.*;
import edu.stanford.nlp.util.*;
import edu.stanford.nlp.dbm.*;
/** @author Dan Klein */
public abstract class Abstrac
www.eeworm.com/read/386597/2570197
m ho_kashyap.m
function [test_targets, w_percept, b] = Ho_Kashyap(train_patterns, train_targets, test_patterns, params)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/474600/6813543
m ho_kashyap.m
function [test_targets, w_percept, b] = Ho_Kashyap(train_patterns, train_targets, test_patterns, params)
% Classify using the using the Ho-Kashyap algorithm
% Inputs:
% train_patterns - Train pa
www.eeworm.com/read/472119/6878833
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -
www.eeworm.com/read/415311/11077035
m c4_5.m
function D = C4_5(train_features, train_targets, inc_node, region)
% Classify using Quinlan's C4.5 algorithm
% Inputs:
% features - Train features
% targets - Train targets
% inc_node -