搜索资源列表
decision_tree
- 机器学习/python入门项目三：决策树(Machine Learning / Python Getting Started Project 3: Decision Trees)
DT
- 调用于sklearn平台的决策树算法，有着较好的分类能力(The decision tree algorithm used in sklearn platform has good classification ability)
GBDT
- 调用于sklearn平台的梯度提升决策树算法，有着较好的分类能力(The GBDT algorithm used in sklearn platform has good classification ability)
决策树-判断隐形眼镜的类型
- 使用python实现的利用随机数生成算法对一个实例，判断隐形眼镜类型的分类问题进行解决。(Use python and random decision tree algorithm to solve the classification problem)
kd_tree
- 数据挖掘之决策树的简单详细使用！！！！！！！！！！！！！(Simple and detailed use of decision tree for data mining)
dialogue_policy_dqn-master
- 基于DQN的对话决策研究，利用深度增强学习，可以通过大量的语料库实现比较好的效果。(Research on Dialogic decision based on DQN)
ID3
- 基于matlab的决策树ID3算法，完成对数据集的分类问题(Based on matlab decision tree ID3 algorithm, the classification of data sets is completed.)
MATLAB
- 本书论述在MATLAB环境下如何实现神经网络，包括了常用的神经网络及相关理论，如BP神经 网络、RBF神经网络、SVM、SOM神经网络、灰色神经网络、决策树、随机森林、小波神经网络、NARX神经网络等以及各种优化算法与神经网络的结合。((This book discusses how to realize neural network in MATLAB environment, including the commonly used neural network and related the
adult
- 本人课设实现的基于决策树和朴素贝叶斯对Adult数据集进行分类！(Adult dataset is classified based on decision tree and naive bayes!)
Class_8_Code
- 决策与随机森林样例，matlab，简单的样例。(Decision making and random forest samples, MATLAB, simple examples)
决策树
- 决策树算法基于python语言的具体实现实例(Implementation of decision tree algorithm based on Python language)
决策树C4.5算法matlab源代码(完美运行)
- 可以完美的实现用于统计学习的算法C4.5分类，完整的matlab程序(Classification of algorithm C4.5 for statistical learning)
MultiUAVsim
- 多无人机协同侦查、任务分配、智能决策仿真(MultiUAV cooperations control)
tree
- 决策树 机器学习实战CH03 统计所有label的频次，计算香农熵(Decision Tree Machine Learning Practical Combat CH03 Statistics Frequency of All Labels and Calculates Shannon Entropy)
C4.5
- 使用matlab实现C4.5决策树算法核心(Implementing the Core of C4.5 Decision Tree Algorithms with MATLAB)
Dectree
- 决策树分类小程序，分类一个酒的类别数据集，数据集里有三类酒，利用matlab自带的决策树函数，根据数据集进行建模，预测。决策树小程序Demo(Decision tree classification program, classification of a wine category data set, there are three types of wine in the data set, using the decision tree function of matlab, accord
Markov_Decision_Processes
- 书籍：人工智能中的马尔可夫决策过程Markov_Decision_Processes_In_Artificial_Intelligence(Book:Markov_Decision_Processes_In_Artificial_Intelligence)
matlab-rrt-variants
- 使用rrt随机决策树进行3d路径规划，效果很好(3-D Path Planning Using Random Decision Tree)
matlab实现的C4.5分类决策树算法
- C4.5决策树分类算法，用于进行数据分类(Classification algorithm)
决策系统界面化
- 决策系统界面化，使用pyqt5生成，可以进行改进和参考。