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jBNC
- jBNC is a Java toolkit for training, testing, and applying Bayesian Network Classifiers. Implemented classifiers have been shown to perform well in a variety of artificial intelligence, machine learning, and data mining applications. jBNC
HierClassifier
- HierClassifier.java - classify documents into categories using naive Bayesian learning
bayes
- java bayesian machine learning with imput type text java bayesian machine learning with imput type text -java bayesian machine learning with imput type textjava bayesian machine learning with imput type textjava bayesian machine learning wi
NaiveBayes
- 基于朴素贝叶斯算法实现的文本分类程序，对数据挖掘的初学者具有很好的学习参考价值。-Based on Bayesian text classification algorithm procedures, data mining beginners a good learning reference value.
learning
- 机器学习代码，贝叶斯java的实现代码。其他还用到了中文语言的分词器。有注释，易于阅读。-Machine learning code, Bayesian java implementation code. Other languages also uses the Chinese word breaker. Notes, easy to read.