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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.
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Author: lyb |
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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.
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Size: 503808 |
Author: lyb |
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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.
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Size: 8192 |
Author: zhangrui |
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