搜索资源列表
Cart
- 实现决策树分类训练试验。 源自c4.5，在windows下用C++实现,简洁好用。用户只需要构建好特征说明文件，并选择一些参数既可以进行试验。
CART
- 用matlab编写的CART数据挖掘决策树算法-using Matlab CART prepared by the Data Mining Decision Tree Algorithm
CaRT
- 简单阐述了CART决策树的原理，包括GINI和TWOING分裂规则-Briefly discusses the principle of CART decision tree, including the GINI and TWOING split rules
CART
- 这是一个分类和回归树算法，它提供一种通用框架将各种各样不同的判定树实例化。-This is a classification and regression tree algorithm, which provides a common framework a wide variety of different decision tree instantiation.
CART
- 数据挖掘算法中的CART算法，matlab版本-CART matlab
CARTClassificationandRegressionTrees
- Classification and Regression Tree的ppt介绍，简称CART，即分类回归树。-Ppt Classification and Regression Tree of the introduction, referred to as CART, the classification and regression trees.
matlab1
- 本软件是基于人工智能网络算法实现对小车倒立摆的控制-This software is based on artificial intelligence network algorithm to achieve the control of inverted pendulum cart
fcart
- CART是一种分类回归树，计算效率高，分类精度高。而fcart是对cart的一种改进。-cart is a classification and regression tree .it s speeding of compute so high .however the fcart is a improving aglorith based on the cart
CART
- CART提供一个通用的框架，利用它，可以实例化各种各样不同的判定树。-CART provides a common framework, use it, you can instantiate a variety of different decision tree. 朗读
Nonlinearly-Adaptive
- ：针对能够采用仿射非线性表示的含有未建模动态的SISO非线性系统，讨论了一种基于神经网络的自适应 控制方法．该方法对受控对象的已知部分．采用反馈线性化方法设计控制器，用神经网络在线补偿未建模动态及 外部干扰等引起的误差，从而实现自适应控制。对具有未建模动态的双车倒立摆设计了输出反馈自适应控制系 统．仿真表明该方法是有效的。 -A discussion is devoted to design neural network adaptive control scheme of t
test_draworb0
- 高级信息提取 基于专家知识的决策树分类：规则获取（经验总结、数据挖掘如c4.5 cart算法）、规则定义以及构建决策树 -Advanced information extraction based on expert knowledge of the decision tree classification: the rules to get (lessons learned, data mining algorithms such as c4.5 cart), definit
CART
- 模式分类中对分类二叉树(CART)的实现-Implement for CART in the modification classification
dataming
- 介绍数据挖掘的10种主要算法及其应用 一种透过数理模式来分析企业内储存的大量资料，以找出不同的客户或市场划分，分析出消费者喜好和行为的方法。 -Top 10 algorithms in data mining his paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006:
DecisionTree
- CART决策树 python 代码，思想来自Programming Collective Intelligence。未剪枝。数据来自the census bureau database。-CART decision tree python code, thoughts from Programming Collective Intelligence. Not pruning. The data from the census bureau database.
CART
- 机器学习-CART决策树代码。使用UCI上面的Adult数据集。-Machine learning- CART decision tree using adult database on UCI.
machine-learning-2
- 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.
TreeRegression
- 树回归：对复杂的关系建模。一般可以分为两种，一种是回归树，一种是模型树， 主要的区别在于对于叶节点的建模方式，回归树使用分段常数，模型树使用线性回归方程。 可以使用剪枝技术对于可能过拟合的树进行剪枝，剪枝一般分为预剪枝和后剪枝。 回归树和模型树都是2元树，每次总是选择最好的分割方式，分成两部分。 这个是自己写的Python语言的CART树回归程序，基本实现了其原理，注释比较多。-Tree Regression: modeling of complex relationshi
regTrees
- 机器学习算法，树回归，CART算法，回归与模型树算法，局部加权线性回归-Machine learning algorithms, regression tree, CART algorithm, regression and model tree algorithm, locally weighted linear regression
classification_toolbox
- 分类工具包，含有多个分类算法的matlab源程序，适用于类别数据的分类和可视化-The Classification toolbox for MATLAB is a collection of MATLAB modules for calculating classification (supervised pattern recognition) multivariate models: Discriminant Analysis, Partial Least Square Discrimin
cart
- classification and regression tree算法的python实现以及相关实验数据-machine learning classification and regression tree