搜索资源列表
HTML.files
- 一个大学导航首页实例，包括了需要使用的图片，代码，html,css,可以在本机上直接运行。比较全面，值得借鉴。-First examples of a university navigation, including the need to use the picture, code, html, css, you can run directly on the machine. More comprehensive and worth learning from.
jvm
- java虚拟机文档资料，同学那共享来的。一起学习-java virtual machine documentation, the share of students. Learning together
cchess
- Java版中国象棋人机对战源代码，将AI算法用得淋漓尽致，具有很高的学习研究价值。 -Chinese Chess Java version of Man-Machine Versus the source code, will AI algorithm is used most vividly, with a high research value of learning.
machine learning regression
- classification of a test score using gradient descent
Bayes
- bayes probability which is widely used in the machine learning. Many research works are based on the bayes.
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
weka-new
- Weka的全名是怀卡托智能分析环境(Waikato Environment for Knowledge Analysis)，是一款免费的，非商业化(与之对应的是SPSS公司商业数据挖掘产品--Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called your own
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.
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
stellah
- machine learning for binary trees, and list then eliminate-parsing trees
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
xjdde
- Machine learning routines, It contains CV, CA, Single, current, constant turn rate, turning model, For feature reduction, feature fusion, correlation analysis.
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)
5162
- Machine learning routines, Matching Pursuit and orthogonal matching pursuit, matlab implements five gray correlation degree computing model.
BreastCancer
- Java实现机器学习经典分类算法，代码中实现了决策树、贝叶斯和KNN三个分类算法(Java implements the classic classification algorithm for machine learning. The code implements three classification algorithms: decision tree, Bayes and KNN)
Machine Learning in Java
- 这是一本全英文的关于机器学习技术书，与当今市面上大多数使用python进行机器学实现的书不同，本书讲解的是基于Java语言的机器学习的学习与代码实现。(MachineLearning implemented with Java)