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bayes
- java实现朴素贝叶斯中文文本分类器。自带分类语料和实验报告。功能完整。-java implement Naive Bayes Chinese text categorization. Own classification corpus and test reports. Full-featured.
Bayes
- Java实现的基于朴素贝叶斯的身高分类，包含训练集文档。代码简单易读。-Java-based implementation of height Naive Bayes classification, including the training set documentation. The code easier to read.
bayes
- 根据文本内容，使用朴素贝叶斯进行文档的分类。-According to the text, using Naive Bayes to classify documents.
Bayes
- 对于Iris数据集的Bayes分类器，采用最大后验概率进行判断。-Iris Bayes classifier for data sets, using maximum a posteriori estimation judgment.
fisher-and-bayes
- fisher 和bayes判别分析方法，主要用在光谱数据模式识别的，可对可见近红外光谱进行类识别，matlab2014a可以使用，其他不知道-Fisher and bayes discriminant analysis method, mainly used in spectral data of pattern recognition, visible to near infrared spectrum is used to identify the class, matlab2014a ca
Naive-Bayes.py.tar
- Classification algorithm using Naive Bayes. Written for News Group data set. 99 accuracy-Classification algorithm using Naive Bayes. Written for News Group data set. 99 accuracy!!!
Bayes
- bayes probability which is widely used in the machine learning. Many research works are based on the bayes.
NAIVE-BAYES
- This application is java implementation Naive Bayes method for classifying a set of data generated in a two-dimensional space (R2). The ide used was NETBEANS
Bayes
- 贝叶斯算法 简单快速的分类算法 C++实现-bayes algorithm
Naive-Bayes
- NAIVE BAYES ALGORITHM(HAMID)
bayes
- 将模式识别方法与图像处理技术相结合，掌握利用最小错分概率贝叶斯分类器进行图像分类的基本方法-bayes with matlab
lecture-05-naive-bayes-done1
- How naive bayes method solve our daily problem in data mining
Bayes
- 本程序是使用的Python写的一个Bayes分类器，通过这个程序可以大致掌握Bayes的原理。-This procedure is used to write a Python Bayes classifier, through this program can be broadly master the principles of Bayes.
bayes
- 基于自然对数改进的朴素贝叶斯,统计TPR,NPR,TFR,TPR-Based on the natural logarithm improved Naive Bayes
Bayes
- 用java语言实现的朴素贝叶斯算法。可以根据输入属性值来判断目标属性的值。-This is the code about Naive Bayes.
Bayes-thresholding
- Bayes shrink for image denoising
bayes
- Bayes理论相关论文和代码, Bayes理论相关论文和代码,-bayes paper and code
Naive-bayes
- 本文以拼写检查作为例子，讲解Naive Bayes分类器是如何实现的。对于用户输入的一个单词（words），拼写检查试图推断出最有可能的那个正确单词（correct）。当然，输入的单词有可能本身就是正确的。比如，输入的单词thew，用户有可能是想输入the，也有可能是想输入thaw。为了解决这个问题，Naive Bayes分类器采用了后验概率P(c|w)来解决这个问题。P(c|w)表示在发生了w的情况下推断出c的概率。为了找出最有可能c，应找出有最大值的P(c|w)，即求解问题-In this
Naive-Bayes
- Naive Bayes 朴素贝叶斯算法的实现-Naive Bayes
Bayes
- 贝叶斯机的java实现。机器学习代码，在学习中实现的一些代码。概率论与数理统计-bayes source code