Description: Programs to induce a naive possibilistic classifier (a possibilistic analog of the naive Bayes classifier) and to classify new data with an induced naive possibilistic classifier.-Programs to induce a naive possibilistic c lassifier (a possibilistic analog of the naive Bayesian classifier) and to classify new data with an induced naive possibilistic classifier. Platform: |
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Author:无心 |
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Description: C语言的朴素贝叶斯分类器代码，是标准C编写的，希望对大家有帮助-C language Naive Bayesian classifier code, prepared by the C standard, and I hope to be helpful Platform: |
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Author:handman |
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Description: 一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms. -by Mike Gashler a complete machine learning includes the neur al net, naive bayesian classifier. decision tree, KNN, a genetic algorithm, manifold and some learning algorithms. Platform: |
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Author:lyb |
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Description: naive bayes方法是用于分类的一个传统方法，它是产生的比较早的一个方法，分类的准确度比较高。-naive bayes method is used for the classification of a traditional method, which is generated as early as one way of comparison, classification accuracy is relatively high. Platform: |
Size: 1024 |
Author:李萍 |
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Description: 贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X | H) P (H)/P (X).. For multi-attribute data sets, computing P (X | Ci) of the overhead is very large, in order to reduce the computational complexity, we do conditional independence assumption that a given tuple class label, it is assumed that property values conditionally independent of each other, that does not exist in the inter-attribute dependencies. This procedure is only an implementation of algorithm, according to training data classifier training Platform: |
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Author:guifeng2002 |
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Description: 一些数据挖掘算法相关,包含定义网络拓扑,有关高血压研究方面的数据,朴素贝叶斯分类,关联规则基本概念,数据挖掘算法,
决策树方法在数据挖掘中的应用,训练贝叶斯信念网络,后向传播,贝叶斯信念网络,后向传播和可解释性,多层前馈神经网络-Some relevant data mining algorithms, including the definition of network topology, the high blood pressure research data, Naive Bayesian Classifier, the basic concepts of association rules, data mining algorithms, decision tree method in data mining applications, training Bayesian belief networks, to the spread of Bayesian belief networks, to the dissemination and interpretability, multi-layer feedforward neural network Platform: |
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Author:fast man |
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Description: ：朴素贝叶斯分类器是一种简单而高效的分类器，但是它的属性独立性假设使其无法表示现实世界属性之间的依赖关
系，以及它的被动学习策略，影响了它的分类性能。本文从不同的角度出发，讨论并分析了三种改进朴素贝叶斯分类
性能的方法。为进一步的研究打下坚实的基础。-: Naive Bayesian classifier is a simple and efficient classifier, but its attribute independence assumption that the real world so that it can not be said to rely on the relationship between attributes, as well as its passive learning strategies, the impact of the classification of its performance . This article from a different point of view, discussion and analysis of three to improve the performance of Naive Bayes classification method. For further research and lay a solid foundation. Platform: |
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Author:李浩 |
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Description: 朴素的贝叶斯分类器，原理很简单，性能还不错-Naive Bayesian classifier, the principle is very simple, good performance Platform: |
Size: 1008640 |
Author:王永超 |
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Description: 本文从不同的角度出发，讨论并分析了三种改进朴素贝叶斯分类性能的方法。为进一步的研究打下坚实的基础。-In this paper, starting from a different perspective, to discuss and analyze the three improved Naive Bayesian classifier performance. Lay a solid foundation for further research. Platform: |
Size: 749568 |
Author:houying |
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Description: 朴素贝叶斯分类器程序代码
采用朴素贝叶斯分类器算法，使用C++语言对英文文本进行分类，实现了一个文本分类器功能-Naive Bayesian classifier program code using Bayesian classification algorithm, using C++ language English text classification, to achieve a text classification function Platform: |
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Author:李宁 |
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Search - Naive Bayesian classifier