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【VC/MFC】 C4 DL : 0: c语言的ppt4，有助于从没接触过c语言的新手学习-c language ppt4, never come into contact help novices learn c language
Update : 2024-05-10 Size : 240640 Publisher : jack
【CSharp】 C4.5 DL : 0: 决策树算法_C实现，主要是数据挖掘领域。-_C Decision tree algorithm to achieve
Update : 2024-05-10 Size : 158720 Publisher : sky
【AI-NN-PR】 machine-learning-2 DL : 0: 机器学习算法之C4.5与CART，经典的机器学习的外文资料，该资料描述详细，便于大家的学习。-The machine learning algorithm C4.5 and CART, the classical machine learning foreign language information, the information described in detail, easy to learn from everyone.
Update : 2024-05-10 Size : 727040 Publisher : zhongrui
【Special Effects】 C4_5 DL : 0: C4.5算法是机器学习算法中的一种分类决策树算法,其核心算法是ID3算法. 分类决策树算法是从大量事例中进行提取分类规则的自上而下的决策树. -C4.5 algorithm is a machine learning algorithm, a classification decision tree algorithm, the core algorithm is ID3 algorithm classification tree algorithm is extracted from a large number of instances of top-down decision tree classification rules.
Update : 2024-05-10 Size : 2048 Publisher : liujiang
【JSP/Java】 Text2 DL : 0: 用java语言实现数据挖掘经典算法之一的C4.5算法。-Using java language Classical data mining algorithms C4.5 algorithm.
Update : 2024-05-10 Size : 5120 Publisher : lhx
【AI-NN-PR】 DTree DL : 0: 一个实现分类决策树算法的系统。ID3算法和C4.5算法。-A decision tree algorithm to achieve classification system. ID3 and C4.5 algorithms.
Update : 2024-05-10 Size : 245760 Publisher : 董旭
【Other】 c45 DL : 0: 对C4.5程序进行了修改，使代码更加优化-Procedures for C4.5 was modified to make the code more optimized
Update : 2024-05-10 Size : 763904 Publisher : wangshan
【matlab】 Matlab DL : 0: C4.5的matlab实现，并且进行了详细的注释，并进行了有序化处理-C4.5 matlab realize, and conducted a detailed notes, and conducted an orderly processing
Update : 2024-05-10 Size : 7168 Publisher : wangshan
【AI-NN-PR】 C4_5 DL : 0: 是一个介绍及其学习算法C4.5的文档，里面讲的比较详细-Is an introduction to its learning algorithm C4.5 of the document, which the more detailed
Update : 2024-05-10 Size : 268288 Publisher : 杨啸晗
【Program doc】 adaboos DL : 0: 当弱分类器算法使用简单的分类方时,boosting的效果明显地统一地比bagging要好.当弱分类器算法使用C4.5时,boosting比bagging较好,但是没有前者的比较来得明显.-When the weak classifier algorithm using simple classification method, boosting the effect clearly uniformly better than bagging. When the weak classifier algorithm C4.5 when used, boosting ratio bagging better, but without the former Comparative more obvious.
Update : 2024-05-10 Size : 152576 Publisher : 王孟贤
【Other】 DecisionTree DL : 0: C++编写的C4.5决策树程序，为数据挖掘基础算法。网址为:http://www.cnblogs.com/michaelGD/archive/2012/11/14/2770758.html-C++ written C4.5 decision tree program, the foundation for the data mining algorithms. Site at: http://www.cnblogs.com/michaelGD/archive/2012/11/14/2770758.html
Update : 2024-05-10 Size : 1507328 Publisher : fy
【Windows Develop】 BI DL : 0: BI中的ID3，和C4.5算法的C++具体实现-BI in the ID3, and C4.5 algorithms C++ concrete realization
Update : 2024-05-10 Size : 6144 Publisher : 张宇
【JSP/Java】 6ce633e678ee DL : 0: ID3和C4.5算法的java实现数据挖掘算法-ID3 C4.5
Update : 2024-05-10 Size : 241664 Publisher : 齐雪
【Algorithm】 J48 DL : 0: J48算法源代码,WEKA，C4.5算法源代码-J48 algorithm source code
Update : 2024-05-10 Size : 5120 Publisher : xiali
【AI-NN-PR】 JAVA-decisiontree DL : 0: 本程序由Java编写，运行前请确认您的电脑上已安装JDK1.7或以上版本并配置好JDK的系统环境变量。请使用Eclipse集成开发导入源代码-The Algorithm of Decision Trees: ID3 and C4.5
Update : 2024-05-10 Size : 596992 Publisher : 杨伟
【Program doc】 CSDN DL : 0: 上传的是CSDN上下的有关代码。里面包含c4.5程序，ID3等相关源代码。这是很有用的代码。-Upload is about code CSDN bottom. Which contains c4.5 program, ID3 and other related source code. It is useful code.
Update : 2024-05-10 Size : 6603776 Publisher : 礼胡洛
【Windows Develop】 C45 DL : 0: C4.5是一系列用在机器学习和数据挖掘的分类问题中的算法。它的目标是监督学习：给定一个数据集，其中的每一个元组都能用一组属性值来描述，每一个元组属于一个互斥的类别中的某一类。C4.5的目标是通过学习，找到一个从属性值到类别的映射关系，并且这个映射能用于对新的类别未知的实体进行分类。-C4.5 is used in a series of machine learning and data mining algorithms for classification problems.
Update : 2024-05-10 Size : 80896 Publisher : 吕俊涛
【Industry research】 classificiation-algorithm-overview DL : 0: 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻、基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分类，基于软计算的分类方法（粗糙集（rough set）、遗传算法、模糊逻辑、人工神经网络算法）。-Classical machine learning classification algorithms overview。 Including Decision Tree (ID3, C4.5 (C5.0), CART, PUBLIC, SLIQ and SPRINT algorithm), three typical Bayesian classifier (Naive Bayes algorithm, TAN algorithm Bayesian network classifiers), k-nearest neighbor based classification algorithm (MIND algorithm, GAC-RDB algorithms) database technology, based on association rules (CBA: classification (Apriori algorithm) Classification Based on Association Rule), and support vector machine classification, classification method based on soft computing (rough sets (rough set), genetic algorithms, fuzzy logic, artificial neural network algorithm)....
Update : 2024-05-10 Size : 30720 Publisher : MM
【Software Engineering】 C4_5Classifier DL : 0: c4.5 clasifier for the classification of the vedios.
Update : 2024-05-10 Size : 2048 Publisher : aarushi
【JSP/Java】 c45-with-hadoop DL : 0: This a demo of Implementation of C4.5 Algorithm using Hadoop MapReduce frame work. c4.5 using java-This is a demo of Implementation of C4.5 Algorithm using Hadoop MapReduce frame work. c4.5 using java
Update : 2024-05-10 Size : 5120 Publisher : obra

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