Description: 贝叶斯网络matlab源程序,可用于分类,欢迎大家下载测试-Bayesian network Matlab source, used to classify and you are welcome to download test! Platform: |
Size: 1724416 |
Author:离岗 |
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Description: 贝叶斯网络的matlab实现。可以创建贝叶斯网络、训练模型，以及实现统计推理-Bayesian network Matlab achieve. Bayesian networks can create, model training, and the realization of statistical reasoning Platform: |
Size: 2349056 |
Author:陈丽 |
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Description: java编写的贝叶斯网络分类器（貌似没有模型构建和参数学习过程）-java prepared by the Bayesian network classifier (seemingly no model of the learning process and parameters) Platform: |
Size: 578560 |
Author:李苗 |
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Description: a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. -a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Im plemented classifiers have been shown to perfo rm well in a variety of artificial intelligence , machine learning, and data mining applications. Platform: |
Size: 503808 |
Author:lyb |
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Description: 贝叶斯网络的一个很好用的工具箱，基于matlab7.0版本。有stanford大学的一个博士生编写；属于源代码开放性质。-Bayesian network of a good toolbox, for matlab7.0 version. Stanford university has a doctoral preparation; Belong to the open nature of the source code. Platform: |
Size: 2013184 |
Author:benda |
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Description: 基于文献《Boosted Bayesian Network Classifiers》的实现代码。-Based on the literature Boosted Bayesian Network Classifiers the realization of the code. Platform: |
Size: 64512 |
Author:minghongxie |
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Description: The BNL toolbox is a set of Matlab functions for defining and estimating the
parameters of a Bayesian network for discrete variables in which the conditional
probability tables are specified by logistic regression models. Logistic regression can be
used to incorporate restrictions on the conditional probabilities and to account for the
effect of covariates. Nominal variables are modeled with multinomial logistic regression,
whereas the category probabilities of ordered variables are modeled through a cumulative
or adjacent-categories response function. Variables can be observed, partially observed,
or hidden. Platform: |
Size: 245760 |
Author:代龙 |
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Description: 基于贝叶斯网络的源程序，可用于对数据的分类工作，效果较好-Based on Bayesian network source, the data can be used for the classification of work, better Platform: |
Size: 1724416 |
Author:san |
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Description: 贝叶斯网络是一种概率网络，它是基于概率推理的图形化网络，而贝叶斯公式则是这个概率网络的基础。贝叶斯网络是基于概率推理的数学模型,所谓概率推理就是通过一些变量的信息来获取其他的概率信息的过程，基于概率推理的贝叶斯网络(Bayesian network)是为了解决不定性和不完整性问题而提出的，它对于解决复杂设备不确定性和关联性引起的故障有很的优势，在多个领域中获得广泛应用。本算法用于weka算法包的拓展。-Bayesian network is a probabilistic network, which is based on graphical probability reasoning network, and Bayesian formula is the basis of the probability of the network. Bayesian network is based on the reasoning of the mathematical model of probability, the so-called probabilistic reasoning through a number of variables to obtain the probability of other information on the process of reasoning based on probabilistic Bayesian network (Bayesian network) is to address uncertainty and incomplete issues raised by it to address the complexity of equipment and the relevance of the uncertainty caused by the fault there are advantages in a number of broad areas of application. Weka algorithm of the algorithm for the expansion pack. Platform: |
Size: 8192 |
Author:zhangrui |
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Description: 基于贝叶斯网络模型的用户兴趣联合推送，分析了用户兴趣模型的优势-Bayesian network model based on user interest joint push, analysis of the advantages of user interest model Platform: |
Size: 424960 |
Author:hailong |
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