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模式识别--VISUAL C++环境下编写的贝叶斯分类器(bayes),值得收藏-Mode identification- VISUAL C++ environment prepared by the Bayesian classifier (bayes) worth collecting
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朴素贝叶斯分类器,用C++实实现的基于朴素贝叶斯算法的分类器
-Naive Bayesian classifier, the classifier based on the Naive Bayes algorithm to achieve C++ real
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OpenCV中贝叶斯分类器的API函数用法举例
OpenCV中贝叶斯分类器的API函数用法举例-OpenCV Bayesian classifier API function usage example, the Bayesian classifier in OpenCV API function usage example
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贝叶斯分类器计算的后验概率值,找到最大的后验概率-Bayesian classifier posteriori probability value, find the maximum a posteriori probability
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代码软件包是一个基于贝叶斯分类器的分类程序,包括数数据集,运行该程序可以是一个,可以直接使用。
-Code package is based on a Bayesian classifier program, including the number of data sets, run the program, you can directly use.
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本程序是实现两类正态分布模式的贝叶斯分类,简单易懂-The program is to achieve the two types of normal distribution model Bayesian classifier, straightforward
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实现用基本贝叶斯分类器进行训练,分类和识别,包含对矩阵的许多处理方法-The basic Bayesian classifier training, classification and identification, contain many processing methods for matrix
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贝叶斯分类器,程序可以有效运行,大家可以-Bayesian classifier, the program can effectively run, we can see
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matlab环境下的一个朴素贝叶斯分类器,还是可以的-Matlab environment, a simple Bayesian classifier, or you can
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matlab下的贝叶斯分类器,经过平滑,大大提高了accuracy,可运行~-matlab Bayesian classifier, smoothed, and greatly improve the accuracy, you can run to
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识别三类手势,采用贝叶斯分类器,提取hu不变矩特征-gesture recognition, using bayesian classifier, extracting hu moment features
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基于C﹟的 贝叶斯分类器 .net源代码-Bayesian classifier based on C#. Net source code
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贝叶斯分类 java实现,可以直接用哦-Bayesian classifier java achieve directly.
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贝叶斯分类器的分类原理是通过某对象的先验概率,利用贝叶斯公式计算出其后验概率,即该对象属于某一类的概率,选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier principle a priori probability of the object using the Bayesian formula to calculate the subsequent posterior probability that the object belongs to a certa
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实现普通离散型数据的贝叶斯分类,不带权重。-The general discrete data Bayesian classifier, without the weight.
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朴素贝叶斯分类器在符号型数据库上的实现,这里说的符号型数据库指属性取值满足离散、无序、有限,无运算-bayesian classifier
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贝叶斯分类器的2分类的实现演示,随机生成数据,进行2维特征的2分类-Classification Bayesian classifier achieve demo, randomly generated data, 2-dimensional feature classification
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This a fast bayesian classifier.-This is a fast bayesian classifier.
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最小错误率贝叶斯决策 模式识别 贝叶斯分类器设计-Minimum error rate Bayesian decision pattern recognition Bayesian classifier design
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最小风险贝叶斯决策 模式识别 贝叶斯分类器设计-Minimum risk Bayesian decision pattern recognition Bayesian classifier design
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