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code
- A Web Tutorial on Discrete Features of Bayes Decision Theory This applet allows for the calculation of the decision boundary given a three dimensional feature vector. Specifically, by stipulating the variables such as
jueceshu
- 决策树 cart 二叉树代码，简要算法与说明-Decision tree cart binary tree code algorithm and briefly explain
ID3
- 数据挖掘中的决策树ID3算法，matlab的，请大家-Data Mining in the ID3 decision tree algorithm, matlab, please U.S.
id3matlab
- Id3是最基础的决策树分类方法，是其他决策树分类方法的基础，这个是Id3分类方法的matlab 实现-Id3 is the most basic decision tree classification method, other methods of decision tree classification, this classification method is id3 realize the matlab
StudyOnDecisionTreeBaseOnRoughSet
- 基于粗糙集理论的决策树预修剪学习算法研究,对决策树算法加以了改进．-Based on rough set theory learning algorithm for decision tree pre-pruning research on decision tree algorithm to be improved.
hard_and_soft_convolution
- system view软件实现的卷积码编码译码过程。其中包括了硬判决和软判决两种方法-system view software decoding of the convolutional code encoding process. Including the hard decision and soft-decision in two ways
convolutiondecode
- ％ decode with soft-input viterbi algorithm 硬判决 ％ //k=4,r=1/2 ％输入数据为软信息，并且数据为均值为1的BPSK调制，如果均值为MEAN,那么62,63,103,104行应做相应修改- Decode with soft-input viterbi algorithm hard-decision// k = 4, r = 1/2 input data for the
Viterbi
- Viterbi Algorithm & Viterbi Decoder Matlab Code.(Provided both soft & hard decision ability). Note: The main function is viterbi.m
DecisionTreeAlgorithm
- 使用C#实现的决策树算法实例，对初学者有很大的帮助-The use of C# Realize the decision tree algorithm examples of great help for beginners
DecisionTree
- This Decision Tree is developed in java language.
TheStudyofDecisionTreeClassifyingMethodinDataminin
- 分类知识的获取是数据挖掘要实现的重要任务之一，其核心问题是解决分类模型的构造和分类算法实现。本文以决策树分类方法中有代表性的方法C4．5为例，介绍数据挖掘中一种分类方法一决策树分类方法及其构建和应用研究。-Classification of knowledge acquisition is a data mining in order to achieve one of the important tasks, the core of
id3
- Decision Tree 决策树算法ID3 数据挖掘 分类-ID3 Decision Tree Algorithm Decision Tree Data Mining Category
DecisionTree
- 决策树分类，Your task for this project is to develop an system which performs a classification task with any various Decision Tree. -Decision tree classification, Your task for this project is to develop an system which perfor
general
- ID3决策树程序，内含训练和测试数据。 输入为选择原训练数据集和测试数据集的百分数，如0.25。根据实验要求，测试数据都选全部，故都输入1。 输出结果为实验要求的实验数据结果。-ID3 decision tree procedures, including training and test data. Input for the selection of the original training data set and te
PatternRecognition
- 1.Fisher分类算法 2.感知器算法 3.最小二乘算法 4.快速近邻算法 5.K-近邻法 6.剪辑近邻法和压缩近邻法 7.二叉决策树算法-1.Fisher Classification Algorithm 2. Perceptron algorithm 3. Least-squares algorithm 4. Fast nearest neighbor 5.K-neighbor method 6. Clip
see5-public
- C5.0 决策树源码, 此算法要优于C4.5算法-C5.0 decision tree source, this algorithm is superior to C4.5 algorithm
wangluochonggou
- 配电网重构是一个多目标、多时段、多组合、多约束的非线性优化问题。该问题的复杂性，决定了难以用单纯的数学方法得到满意的解。尝试用改进的遗传算法进行配电网络重构，建立评价函数，寻求该评价函数最优解-Distribution network reconfiguration is a multi-objective, multi-slot, multi-portfolio, multi-constrained nonlinear optimiz
wajue
- 利用VC++实现决策树分类算法，已经测试过！可用-Use VC++ Realize the decision tree classification algorithm has been tested! Available
GSM_Viterbi_soft-detection
- 在GSM通信系统中，Viterbi检测是一个及其重要的部分，许多的研究人员在这里花费了大量的心血。参考各种资料，我们总结得出以下Viterbi软输出算法，与传统的硬判决方法相比，可以提高2～3个db的增益：-In GSM communication systems, Viterbi detection is an important part of many researchers here spent a lot of effort.
2007010238
- 基于决策树和贝叶斯的预测分析器，可以对数据库中的数据集通过训练学习后根据训练结果进行信息预测。-Based on Decision Tree and Bayesian prediction of the analyzer can be in the database data sets through training to learn the results after the training information in acco