Description: 在训练集上通过随机属性选取生成若干属性子集,并以这些子集构建相应的贝叶斯分类器,进而采用遗传算法进行优选。
-Adopted in the training set to generate a number of random attributes selected subset of attributes and to build on them to build a subset of the corresponding Bayesian classifier, and thus the use of genetic algorithm optimization. Platform: |
Size: 23552 |
Author:lyh |
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Description: 为一个贝叶斯分类的学习算法实现,是基于linux系统下的c++实现-As a Bayesian classifier learning algorithm is based on linux systems c++ Achieve Platform: |
Size: 285696 |
Author:深夜 |
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Description: 实现三类协方差不等的贝叶斯分类，输入样本即可得出此样本属于哪一类。-The realization of three categories ranging from Covariance Bayesian classifier, the importation of samples can be drawn to this type of samples. Platform: |
Size: 2081792 |
Author:ashia |
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Description: 使用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序，分为协方差相等和不相等两种情况，最后画出了三类的分界线-Using matlab to the smallest error rate based on the Bayes classifier to carry out simulation, the preparation of the corresponding procedures, divided into equal covariance and unequal both cases, the final draw of the three types of line Platform: |
Size: 1024 |
Author:liz |
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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: |
Size: 184320 |
Author:fast man |
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Description: 贝叶斯分类算法，构造朴素贝叶斯分类器，对给定的中文文本进行分类-Bayesian classification algorithm, Naive Bayes classifier structure of a given Chinese text classification Platform: |
Size: 2048 |
Author:娜娜 |
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Description: 贝叶斯分类器的设计实验，内有解释利于入门学习-Bayesian classifier design experiments, which help to explain the study entry Platform: |
Size: 1024 |
Author:路单 |
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Description: 关于贝叶斯分类器设计的实验，适合入门，上一个传错了，抱歉-Bayesian classifier on the experimental design is suitable for entry, a mass is wrong, sorry Platform: |
Size: 44032 |
Author:路单 |
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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: |
Size: 149504 |
Author:李浩 |
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Description: 贝叶斯分类器，利用后验概率，对已知属性对象进行分类-Bayesian classifier, the use of posterior probability of the known properties of the object classification Platform: |
Size: 3072 |
Author:孙巍巍 |
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Description: 本程序基于matlab实现了贝叶斯分类器，是模式识别理论中基本的操作，希望对初学者有帮助。-This procedure achieved a matlab-based Bayesian classifier, Pattern Recognition Theory is the basic operation, and they hope to be helpful for beginners. Platform: |
Size: 5120 |
Author:吕晋普 |
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