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Description: 贝叶斯决策理论常用于模式识别中，这是最常用的一种贝叶斯决策的matlab原程序-Bayesian decision theory commonly used in the pattern recognition, This is the most commonly used a Bayesian decision-making procedures of the original Matlab
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Size: 865 |
Author: niemin |
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Description: 用matlab实现的朴素贝叶斯分类源代码，希望对大家有些帮助
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Size: 865 |
Author: fanny |
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Size: 1024 |
Author: niemin |
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Description: 用matlab实现的朴素贝叶斯分类源代码，希望对大家有些帮助-Using matlab realize the Naive Bayesian Classifier source code, in the hope that some U.S. help
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Size: 1024 |
Author: fanny |
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Description: 对著名的UCI机器学习库的wine数据集做的朴素贝叶斯分类算法，包含详细源代码和实验报告，不可多得啊-Pairs of well-known UCI machine learning repository data set to do wine Naive Bayesian classification algorithm, with detailed source code and test reports, a rare ah
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Size: 17408 |
Author: hannychen |
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Description: 通过模式抖动技术实现数字加网，防止了由抖动处理所产生的人工痕迹-Pattern jitter through digital screening, treatment to prevent the jitter generated by the artificial marks
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Size: 56320 |
Author: 王婷 |
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Description: 简单贝叶斯计算源程序，可以使用调试，用于简单的matlab和贝叶斯的学习实验内容-Simple Bayesian computing source, you can use the debugging, for the simple Bayesian learning matlab and experimental content
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Size: 1024 |
Author: songjie |
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Description: Matlab贝叶斯分类器+(Bayers)程序-Matlab Bayesian classifier+ (Bayers) program
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Size: 4096 |
Author: 孙超 |
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Description: Matlab贝叶斯分类器+(Bayers)程序,程序源码-Matlab Bayesian classifier+ (Bayers) program, program source code
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Size: 832512 |
Author: 方敏 |
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Description: 用matlab编写的贝叶斯分类器算法程序，共两个文件，经验证算法有效，希望对使用者有帮助-Matlab prepared bayes classification algorithm procedures, a total of two files, experience card is efficient, hope to help users。
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Size: 1024 |
Author: 朱强 |
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Description: 用matlab实现的贝叶斯分类器程序，关于图像的贝叶斯分类程序-matlab bayesian classification
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Size: 2048 |
Author: 凌姗 |
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Description: 手写数字识别软件,利用Bayers分类器来实现手写数字的识别。-handwrting digital recognition
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Size: 468992 |
Author: 含 |
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Description: 线性分类器可以实现线性可分的类别之间的分类决策，其形式简单，分类决策快速。但在许多模式识别的实际问题中，两个类的样本之间并没有明确的分类决策边界，线性分类器（包括广义线性分类器）无法完成分类任务，此时需要采用其它有效的分类方法。贝叶斯分类器就是另一种非常常见和实用的统计模式识别方法。-Linear classifier can be realized linearly separable classification decision between classes in the form of simple, rapid classification decision. However, in many practical problems in pattern recognition and classification decisions there is no clear boundary, linear classifiers (including generalized linear classifier) was unable to complete the task of classification between two classes of samples, then the need to use other effective classification. Bayes classifier is another very common and useful statistical pattern recognition methods.
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Size: 2048 |
Author: 马腾 |
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Description: Manage shop 'customer bayers articles....
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Size: 122880 |
Author: fellourik
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