搜索资源列表
mlj-1_0a_javadoc
- 内含有Navie Bayes ID3 等经典数据挖掘算法源代码.
bayes
- navie bayes classifier
NavieBayesianClassifier[xtulbd,050228]
- 朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J-Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J
NavieBayesianClassifier[xtulbd,050228]
- 朴素贝叶斯分类器（Navie Bayesian Classifier）识别鼠标输入的字母A～J-Naive Bayesian classifier (Navie Bayesian Classifier) Identification of the mouse input letters A-J
NavieBayes-Classifier
- 很好用的一个适用程序，由Visual C＋＋编程，有收藏价值-A very good application of the procedures used by Visual C programming, have value for collection
bayes
- navie bayes classifier
bayesimp
- it is program in perl language which implements the Navie bayesian classification
Navie-Bayes
- 机器学习中关于朴素贝叶斯（NB）方法的Matlab源代码，附带四个数据集用于实验-Machine Learning on Bayesian (NB) method of Matlab source code, with four data sets for experiments
NaiveBayesDemo
- navie bayes demo .-navie bayes demo .
Navie
- Navier_Stokes方程组驱动的虚拟人群Navier_Stokes equations driven virtual crowd-Navier_Stokes equations driven virtual crowd
DP-Navie-LongestCommonSubstring
- 给出了一种基于动态规划的最长公共子串算法（vc），以及一种朴素算法。-There two Longest common substring algorithms writen in VC in this document.One is based on the dynamic programming, the other is naive.
turbulence
- This paper is about turbulent flow and derivition of Navie-Stocks Equation for this Flow!
Navie-Bayes
- matlab code for Navie Bayes
BayesianClasser
- 贝叶斯分类器Matlab实现 机器学习算法，用于分类的朴素贝叶斯分类器，Navie Bayesian Classifier 。-Bayesian classifier Matlab achieve machine learning algorithms for classification Naive Bayes classifier, Navie Bayesian Classifier.
NaiveBayes
- navie bayes alogrithm using Csharp
ML-Navie-Baye
- 相关机器学习，ML-Naive，R语言学习。-Related to machine learning, ML-Naive, R language learning.
machingLearning-ML-Navie-Baye
- 机器学习相关算法研究，里面有参考文档和运行的小例子-Machine learning algorithms related research, there are reference documents and run a small example
NaiveBayesSpamFilter-master
- 利用朴素贝叶斯算法实现垃圾邮件的过滤，并结合Adaboost改进该算法(spam filter using Adaboost and Navie bayesian)