Description: 本资料含有国外最经典的数据挖掘的论文。有决策树，贝叶斯等-This information contains a foreign classic data mining papers. There are decision trees, Bayesian, etc. Platform: |
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Author:zhangli |
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Description: NeC4.5 is a variant of C4.5 decision tree, which could generate decision trees more accurate than standard C4.5 decision trees, through regarding a neural network ensemble as a pre-process of C4.5 decision tree.
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Author: |
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Description: The matlab code implements the ensemble of decision tree classifiers proposed in: "L. Nanni and A. Lumini, Input Decimated Ensemble based on Neighborhood Preserving Embedding for spectrogram classification, Expert Systems With Applications doi:10.1016/j.eswa.2009.02.072 " Platform: |
Size: 1024 |
Author:loris nanni |
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Description: MATLAB cross-validation tool for classification and regression v0.1
FEATURES:
+ K-fold cross validation.
+ Arbitrary train and prediction functions with parameters can be used.
+ Arbitrary loss function can be used.
+ Wrappers for KNN, SVM, GLM, robust regression and decision trees.
+ Wrappers for RMSE, MAD and misclassification loss functions. Platform: |
Size: 3072 |
Author:milk |
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Description: matlab实现决策树C4.5算法,首先利用训练数据创建决策树，再用测试数据对决策树进行剪枝。-C4.5 decision tree algorithm matlab realize, first use training data to create decision trees, and then test data for decision tree pruning. Platform: |
Size: 2048 |
Author:王杰 |
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Description: 如何使用matlab自带的决策树进行数据的分类，包括分类树，回归树-How to use matlab own decision tree classification of data, including classification trees, regression trees Platform: |
Size: 7168 |
Author:chen |
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Description: 要说随机森林，必须先讲决策树。决策树是一种基本的分类器，一般是将特征分为两类（决策树也可以用来回归，不过本文中暂且不表）。构建好的决策树呈树形结构，可以认为是if-then规则的集合，主要优点是模型具有可读性，分类速度快。(In machine learning, a random forest is a classifier that contains multiple decision trees, and its output category is determined by the mode of the output categories of individual trees.) Platform: |
Size: 8192 |
Author:蓝兰lan |
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Search - decision trees matlab