搜索资源列表
disease
- 机器学习,java实现疾病预测算法,通过tfidf做权重计算-Machine learning, java achieve disease prediction algorithm, by doing weight calculation tfidf
symprelated
- 机器学习,通过java实现相关症状算法,通过FPTree算法实现-Machine learning algorithm to achieve symptoms java, through FPTree algorithm
mild
- weke环境中机器学习的多示例分类算法集成包MILD-weke environment more examples of machine learning classification algorithms integrated package MILD
ELM-Java
- java 语言实现elm ,机器学习语言,神经网络,需要的同学抓紧下!-java language elm, machine learning language, neural networks, students need to pay close attention to the next!
src
- 机器学习算法-随机森林的java实现,可以作为入门使用-Machine learning algorithms- random forests to achieve the java can be used as entry
jbrt-master
- 机器学习算法中的迭代决策树算法,是一种用途非常广泛的多决策树算法,可以有效的解决问题-Machine learning algorithms in iterative decision tree algorithm, is a very versatile multi-tree algorithm can effectively solve the problem
java_gbdt-master
- 机器学习算法-GBDT算法,也被称作GBRT算法,常用于各种分类和预测问题,能够取得不错的结果--GBDT Algorithm machine learning algorithm, also known as the GBDT algorithm, commonly used in a variety of classification and prediction problems, able to achieve good results
src.tar
- c45算法java实现,机器学习决策树算法的简单实现-c45 algorithm to achieve the java machine learning decision tree algorithm simple implementation
SVM
- 支持向量机算法的机器学习,数据是从官方下载的。- SVM machine learning, data is downloaded the official.
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.
spark
- MLlib 是spark 机器学习的库,它的目标是使机器学习算法能更容易上手。这个库包含通用学习算法和工具集,包括:分类,回归,聚类,协同过滤,降维,以及深层优化策略和上层管道API(pipeline).-MLlib is spark machine learning library, which aims to make a machine learning algorithm can be more easy to use. This library contains a common se
DecisionTree
- 机器学习算法决策树算法中ID3算法的简单实现代码-Machine learning algorithms decision tree algorithm ID3 algorithm implementation code simple
weka
- 机器学习调用weka的jar包实现的源码,包含朴素贝叶斯,决策树,ID3,以及特征选择的源码,数据集使用weka的数据集,需要使用arff文件读入。-Weka machine learning to call the jar package implements the source, including Naive Bayes, decision trees, ID3, and features selected source dataset weka data set, you need t
Decision-tree-algorithm
- 数据挖掘,机器学习经典分类算法,决策树算法ID3 C4.5 Java实现 开发环境 eclipse-Data mining, machine learning classic classification algorithm, decision tree algorithm ID3 C4.5 Java development environment eclipse
iCEP
- 复杂事件处理框架的设计与实现,事件处理规则的自动生成基于机器学习-Automatic generation of design and implementation of complex event processing framework, event processing rules based on machine learning
Programming.Collective.Intelligence源代码
- 机器学习实战,人工智能学习,Java源代码(artificial intelligence technology)
WEKA的API简介
- 对WEKA的API进行了介绍,使用WEKA作机器学习的同学可以参考(The WEKA of API is introduced, and the people who use WEKA as machine learning can refer to it)
weka使用教程
- 机器学习工具WEKA的详细使用教程,初学者适用(Machine learning tool WEKA detailed use of tutorials, beginners applicable)
NLPLibSVM
- svm算法包,简单实现svm,下载下载,机器学习算法(如神经网络BP、支持向量机SVM,循环神经网络JRNN, 递归神经网络LSTM,分组数据处理GMDH, 极限学习机ELM(svm this class label employ a lazy and easy method,any class must written in 0,1,2...so the preprocessing is required)
knn
- 数据挖掘与机器学习之knn算法原理实例。(An example of the principle of data mining KNN algorithm)