Search - c4.5

Search - c4.5 - List

【Algorithm】 tree DL : 0: 决策树分类的各种代码,包括ID3、c4.5等等，有界面可以运行-Various code of decision tree classification, including ID3, C4.5 and so on, there are interface can run
Update : 2024-05-10 Size : 14336 Publisher : 郭斌
【Mathimatics-Numerical algorithms】 tree DL : 0: 数据挖掘-决策树-c4.5算法的java代码实现-Data Mining- Decision Tree algorithm java code-c4.5
Update : 2024-05-10 Size : 928768 Publisher : 王倩
【Mathimatics-Numerical algorithms】 decisiontree DL : 0: 数据挖掘中决策树的java实现，c4.5算法的java实现-Java implementation of the decision tree data mining, c4.5 algorithm to achieve the java
Update : 2024-05-10 Size : 12288 Publisher : 王倩
【Mathimatics-Numerical algorithms】 aa DL : 0: 决策树算法的实现，运用java语言，实现c4.5算法-Achieve decision tree algorithm, using java language, to achieve c4.5 algorithm
Update : 2024-05-10 Size : 531456 Publisher : 王倩
【Other】 MachineLearning DL : 0: 机器学习十大算法，包括朴素贝叶斯、SVM、C4.5、Apriori等。-Ten machine learning algorithms, including Naï ve Bayes, SVM, C4.5, Apriori and so on.
Update : 2024-05-10 Size : 4811776 Publisher : 李天
【Delphi VCL】 EncDecC1C2C3C4 DL : 0: 奇迹MU C1 C2 C3 C4 封包算法老版本-MU miracle packet algorithm EncDecC1C2C3C4.pas
Update : 2024-05-10 Size : 3072 Publisher : q1w2e3e3w2q1
【AI-NN-PR】 c45.tar DL : 0: C4.5决策树源码， C语言，文档说明详细，欢迎使用。-C4.5 Decision tree
Update : 2024-05-10 Size : 153600 Publisher : 刘正
【AI-NN-PR】 c45 DL : 0: 决策树算法c4.5 C语言实现以及命名规则和构建工具开发集合-C4.5 decision tree algorithm C language, naming and build tools set
Update : 2024-05-10 Size : 154624 Publisher : 王
【Other resource】 C4.5 DL : 0: 改进型的决策树算法，特别的实用，欢迎大家下载，也可以用到论文算法中-Improved decision tree algorithm, especially useful, welcome to download, you can also use paper algorithm
Update : 2024-05-10 Size : 68608 Publisher : 张云飞
【Other】 The-Top-Ten-Algorithms DL : 0: IEEE总结的常用的数据挖掘算法，说明了10种最常用的算法-This book presents these top 10 data mining algorithms: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost，etc
Update : 2024-05-10 Size : 3167232 Publisher : 李琳
【Other】 C4_5 DL : 0: 决策树C4.5程序设计，非常实用且方便，欢迎大家学习，借鉴。-C4.5 decision tree program design, very practical and convenient, welcome everyone to learn from.
Update : 2024-05-10 Size : 2048 Publisher : yanghongmei
【Software Engineering】 10.1.1.1.8430 DL : 0: NeC4.5: Neural Ensemble Based C4.5 Zhi-Hua Zhou, Member, IEEE, and Yuan Jiang Abstract—Decision tree is with good comprehensibility while neural network ensemble is with strong generalization ability.
Update : 2024-05-10 Size : 149504 Publisher : arsiphysic
【Applications】 myc45java DL : 0: It is C4.5 algorithm written in java. C4.5 is one of the decision tree algorithms in data mining.
Update : 2024-05-10 Size : 6144 Publisher : Pixy Yuki
【JSP/Java】 c45 DL : 0: c4.5 implementation. Hope you can find it helpful
Update : 2024-05-10 Size : 29696 Publisher : mengdi
【Software Engineering】 adaboost DL : 0: Now, you ought to implement the AdaBoost.M1 and AdaBoost.M2 algorithms. These algorithms are two versions of the AdaBoost algorithm for handling the Problems with more than two classes. You must first read the paper “Experiments with a New Boosting Algorithm”. Use decision stump and C4.5 classifiers of Weka as the base classifiers for AdaBoost.M1 and use decision stump as the base classifier for AdaBoost.M2.
Update : 2024-05-10 Size : 432128 Publisher : hajar
【Windows Develop】 MatlabCode DL : 0: matlab code for C4.5 decision tr-matlab code for C4.5 decision tree
Update : 2024-05-10 Size : 502784 Publisher : hamideh
【AI-NN-PR】 C4_5 DL : 0: 这是分类树的C4.5算法分类，算法比较简单，但是运行高效，可以对图像进行分类-This is the classification tree C4.5 algorithm classification, the algorithm is relatively simple, but the operation is efficient, you can classify the image
Update : 2024-05-10 Size : 2048 Publisher : 杨明
【AI-NN-PR】 trees DL : 0: 机器学习中的c4.5树的源代码，经测试，可以使用-The source code tree c4.5 in machine learning, through the test, can be used
Update : 2024-05-10 Size : 2048 Publisher : tiger
【Console】 C4-3 DL : 0: 对于一元二次方程ax^2 + bx + c 0,解可以分为很多情况。若该方程有两个不相等实根，首先输出1，换行，然后从小到大输出两个实根，换行；若该方程有两个相等实根，首先输出2，换行，然后输出这个这个实根，换行；若该方程有一对共轭复根，输出3，换行；若该方程有无解，输出4，换行；若该方程有无穷个解，输出5，换行；若该方程只有一个根，首先输出6，换行，然后输出这个跟，换行；-For a quadratic equation ax ^ 2+ bx+ c 0, the solution can be divided into many situations. If the equation has two unequal real roots, the first output 1, line breaks, and then small to large output two real roots, wrap if the equation has two equal real roots, first output 2, line feed, then output this the real roots, wrap if the equation has a pair of complex conjugate roots, output 3, wrap if the equation whether the solution, output 4, line if the equation has an infinite number of solutions, output 5, line if the equation has only one root first output 6, line feed, then output this with line breaks
Update : 2024-05-10 Size : 1024 Publisher : 胡超臣
【AI-NN-PR】 DT DL : 0: 人工智能方面的决策树算法，包括C4.5 ID3 CART三种评判标准实现方式 -Artificial intelligence decision tree algorithms, including three kinds of criteria C4.5 ID3 CART implementation
Update : 2024-05-10 Size : 2997248 Publisher : 潘霏

« 1 2 ... 12 13 14 15 16 1718 19 20 »