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bayes
- matlab中的贝叶斯工具箱使用说明,包含了基本函数介绍和实例教程。-GUIDE BOOK ON BAYES TOOLBOX OF MATLAB,VERY USEFUL
bayes-classify
- 用于图像分类研究的似然函数模式分类的贝叶斯分类器源程序-bayes classify used for Digital Image Processing
Chinese-text-based-on-Naive-Bayes-
- 一种基于情感词典和朴素贝叶斯的中文文本情感分类方法-Feelings of the Chinese text based on emotional dictionaries and Naive Bayes classification
bayes
- 贝叶斯文本分类 完整程序，可以运行，非常适合学生学习-bayes It is important for students
Copy-of-bayes
- bayes 短文本分类 300个文本作训练集，进行文本倾向分类 分类效果一般-bayes text divide
Bayes
- 概率统计的bayes方法识别手写数字，算法简单，内附测试图-Bayes methods of probability and statistics to identify digital
Bayes
- 该程序实现了数据仓库与挖掘中神经网络算法中的bayes算法-The program bayes algorithm in neural network algorithm for data warehousing and mining
bayes-Gaussian-networks
- matlab中bayes network tools工具箱下，编写的一个关于输入为连续数值，输出两类的离散数据-bayes network tools toolbox matlab written one on the input of continuous values , the output of two discrete data
BAYES
- Bayes algoritm in Matlab-Bayes algoritm in Matlab!!!!!!!!
bayes-classification
- 基于最小错误率的bayesian分类，对身高体重进行分类-bayes classification
Fisher-and-Bayes-classification-
- Fisher 和 Bayes分类器的比较，利用身高体重数据进行分类比较-Fisher and Bayes Classification
Bayes-in-BP(code)
- 采用贝叶斯正则化算法提高 BP 网络的推广能力。在本例中，我们采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正 则化算法（trainbr），用以训练 BP 网络，使其能够拟合某一附加有白噪声的正弦样本数据。-Use Bayes to train BP network
Text-Classification-Using-Naive-Bayes
- This file details bayesian classification theorem in artificial intelligence
bayes
- 贝叶斯分类器进行分类,模式识别里面多为正态分布的贝叶斯分类应用-bayes classifer
How-to-use-the-Bayes-Net-Toolbox
- 该文档将系统讲述贝叶斯网络工具包的使用方法-How to use the Bayes Net Toolbox? The document will provide you with a detailed guide!
Bayes
- Bayes 分类算法 c/c++ 训练数据-write a program to achieve bayes classification.
bayes
- 基于贝叶斯的增量学习算法相关文档：包括朴素贝叶斯，网络贝叶斯等-Incremental learning algorithm based on Bayesian document: Naive Bayes, Bayesian and other network
Bayes-classifier
- 贝叶斯分类器，贝叶斯算法的matlab程序-Bayes classifier Bias algorithm procedure
Bayes
- 实现贝叶斯分类算法,将指定的文件训练后，对测试集进行分类-Bayes classifier
Bayes
- Bayes在分类中的运用，并结合C++语言编写的程序。实现准确分类。-Application of Bayes theorem in classification, and combined with programs written in c++ language to realize accurate classification