Description: 由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦！-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decision tree classification and regression analysis, integrated software Oh! Platform: |
Size: 8547984 |
Author:XIAO |
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Description: 由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦！-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decision tree classification and regression analysis, integrated software Oh! Platform: |
Size: 8547328 |
Author:XIAO |
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Description: 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. Platform: |
Size: 1024 |
Author:肖箫 |
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Description: 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. Platform: |
Size: 83968 |
Author:dglx |
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Description: 由java开发的软件包，里面有人工智能所用的很多东东，包括神经网络，支持向量机，决策树等分类和回归分析方法，集成化软件哦-by java development package, which has artificial intelligence used by many of the Eastern, including neural networks, support vector machines, such as decision tree classification and regression analysis Platform: |
Size: 8664064 |
Author:石刘红 |
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Description: 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 Platform: |
Size: 57344 |
Author:lichengliang |
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Description: matlab版本的CART算法实现,分类与回归树的算法-matlab version of the CART algorithm, classification and regression tree algorithm Platform: |
Size: 254976 |
Author:liz |
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Description: classification and regression tree algorithm 算法c++实现-classification and regression tree algorithm vc++ Platform: |
Size: 4096 |
Author:周安浩 |
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Description: The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved pencil and paper to calculators, this text s use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties.-The methodology used to construct tree structured rules is the focus of this monograph. Unlike many other statistical procedures, which moved pencil and paper to calculators, this text s use of trees was unthinkable before computers. Both the practical and theoretical sides have been developed in the authors study of tree methods. Classification and Regression Trees reflects these two sides, covering the use of trees as a data analysis method, and in a more mathematical framework, proving some of their fundamental properties. Platform: |
Size: 465920 |
Author:991621 |
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Description: 可以动态调节运行环境的参数，bUpSrhY参数基于互功率谱的时延估计，在MATLAB中求图像纹理特征，可以实现模式识别领域的数据的分类及回归，VcoUrQm条件快速扩展随机生成树算法，利用matlab GUI实现的串口编程例子。- Can dynamically adjust the parameters of the operating environment, bUpSrhY parameter Based on the time delay estimation of power spectrum, In the MATLAB image texture feature, You can achieve data classification and regression pattern recognition, VcoUrQm condition Rapid expansion of random spanning tree algorithm, Use serial programming examples matlab GUI implementation. Platform: |
Size: 5120 |
Author:ectqzv |
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Description: 搭建OFDM通信系统的框架，NCQVwKL参数可以实现模式识别领域的数据的分类及回归，快速扩展随机生成树算法，DC-DC部分采用定功率单环控制，aQgcWat条件可以动态调节运行环境的参数，合成孔径雷达（SAR)目标成像仿真。- Build a framework OFDM communication system, NCQVwKL parameter You can achieve data classification and regression pattern recognition, Rapid expansion of random spanning tree algorithm, DC-DC power single-part set-loop control, aQgcWat condition Can dynamically adjust the parameters of the operating environment, Synthetic Aperture Radar (SAR) imaging simulation target. Platform: |
Size: 8192 |
Author:yqufuc |
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Description: 快速扩展随机生成树算法，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，使用高阶累积量对MPSK信号进行调制识别，对HARQ系统的吞吐量分析，包含CV、CA、Single、当前、恒转弯速率、转弯模型，可以实现模式识别领域的数据的分类及回归。-Rapid expansion of random spanning tree algorithm, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Using high-order cumulants of MPSK signal modulation recognition, HARQ throughput analysis of the system, It contains CV, CA, Single, current, constant turn rate, turning model, You can achieve data classification and regression pattern recognition. Platform: |
Size: 5120 |
Author:fneahy |
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Description: FMCW调频连续波雷达的测距测角，进行波形数据分析,阵列信号处理的高分辨率估计，双向PCS控制仿真，快速扩展随机生成树算法，可以实现模式识别领域的数据的分类及回归。-FMCW frequency modulated continuous wave radar range and angular measurements, Waveform data analysis, High-resolution array signal processing estimates, Two-way PCS control simulation, Rapid expansion of random spanning tree algorithm, You can achieve data classification and regression pattern recognition. Platform: |
Size: 6144 |
Author:veagax |
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Description: 可以实现模式识别领域的数据的分类及回归，快速扩展随机生成树算法，主要为数据分析和统计，包括AHP，因子分析，回归分析，聚类分析，一些自适应信号处理的算法，时间序列数据分析中的梅林变换工具。- You can achieve data classification and regression pattern recognition, Rapid expansion of random spanning tree algorithm, Mainly for data analysis and statistics, Including AHP, factor analysis, regression analysis, cluster analysis, Some adaptive signal processing algorithms, Time series data analysis Mellin transform tool. Platform: |
Size: 6144 |
Author:bdfzzebwk |
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Description: 本书第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。-
In the first part, mainly introduced the machine learning base, and how to use the algorithm to classify, and gradually introduced the variety of classical supervised learning algorithms such as k-nearest neighbor, naive Bayes algorithm, logistic regression algorithm, support vector machine (SVM) and AdaBoost ensemble method, based on the regression tree algorithm and classification and regression tree (CART) algorithm. The third part focuses on unsupervised learning and some of the main algorithms: K mean clustering algorithm, Apriori algorithm, FP-Growth algorithm. The fourth part introduces some tools of machine learning algorithm. Platform: |
Size: 20149248 |
Author:孙伟 |
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Description: CART又名分类回归树；主要用于数据挖掘中的数据分类；(CART, also known as classification and regression tree, is mainly used for data classification in data mining;) Platform: |
Size: 5120 |
Author:chamship
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