搜索资源列表
DTree
- D-Tree是在机器学习的领域中一项非常重要的概念，D-Tree可以将大幅度地提高以前数的结构的效率。上传的文件中实现了一个最基本的D-Tree，并带有三个样例。-D-Tree is in the field of machine learning a very important concept, D-Tree can be significantly improved before the structure of a number of efficiency. From the paper
ID3
- 机器学习：ID3算法建立决策树，输入训练样本，以广义表的形式输出-Machine Learning: ID3 decision tree algorithm, input the training samples, the generalized form of the output table
EM-Algorithm
- EM算法 , EM算法是机器学习中一个很重要的算法，即期望最大化算法-EM algorithm, EM algorithm is a very important machine learning algorithm, that is, expectation maximization algorithm
tc
- c语言数据结构试验上机运行环境,适用于学习C的学子-c language data structure on the machine running the test environment for students learning C
gSpan6.tar
- 频繁图挖掘实现算法gspan，用C++语言实现-an algorithm for subgraph discovery named gspan,it was first found by famous machine learning expert Jiawei Han
QianSanZhang
- 我们上课时的课件，非常有条理，想学习数据结构的同学可以下载来学习，里面有完整的代码介绍，线性表/链表/二叉树/邻接矩阵/图等~我们上机就都从里面拷代码，是非常好的学习资料~这章是前三章。-Courseware in our class, very organized, want to learn data structures students can download to learn, there are a complete introduction of the code, linear
SiWuZhang
- 这章是四五章。我们上课时的课件，非常有条理，想学习数据结构的同学可以下载来学习，里面有完整的代码介绍，线性表/链表/二叉树/邻接矩阵/图等~我们上机就都从里面拷代码，是非常好的学习资料~。-This chapter is four or five chapters. Courseware in our class, very organized, want to learn data structures students can download to learn, there are a c
Multi-machine-scheduling-algorithm
- 多级调度算法，做出来仅供参考学习，语言是C-this is a Multi machine scheduling algorithm just for reference and learning, used language is C++
matching_to_many_images.cpp
- 一个能够使用机器学习的小程序，花费了我三天时间去完成它-An ability to use a small machine learning program took me three days to complete it
spider20060724
- 机器学习和模式识别工具包spider。内容很丰富。包含svm 决策树（C45,J48）、svm、knn、adaboost、bagging、hmm（隐马尔科夫模型）、随机树（random forest）等-Machine learning and pattern recognition toolkit spider. Very rich in contents. Tree contains svm (C45, J48), svm, knn, adaboost, bagging, hmm (hidd
sample4
- 工神经网络（Artificial Neural Network）又称连接机模型，是在现代神经学、生物学、心理学等学科研究的基础上产生的，它反映了生物神经系统处理外界事物的基本过程，是在模拟人脑神经组织的基础上发展起来的计算系统，是由大量处理单元通过广泛互联而构成的网络体系，它具有生物神经系统的基本特征，在一定程度上反映了人脑功能的若干反映，是对生物系统的某种模拟，具有大规模并行、分布式处理、自组织、自学习等优点，被广泛应用于语音分析、图像识别、数字水印、计算机视觉等很多领域，取得了许多突出的成果
Hierarchical-clustering-analysis
- 数据聚类 (英语 : Cluster analysis) 是对于静态数据分析的一门技术，在许多领域受到广泛应用，包括机器学习，数据挖掘，模式识别，图像分析以及生物信息。聚类是把相似的对象通过静态分类的方法分成不同的组别或者更多的子集（subset），这样让在同一个子集中的成员对象都有相似的一些属性，常见的包括在坐标系中更加短的空间距离等。-Data Clustering (English: Cluster analysis) for a static data analysis techniqu
muskSuccess
- 数据挖掘与机器学习中可以用于多示例学习的原始数据集MUSK1 已经转化成ARFF格式可直接用于weka的-Data mining and machine learning the original data set can be used for multi-instance learning MUSK1 has been transformed into ARFF format it can be used directly in weka
MUSK2success
- Data mining and machine learning the original data set can be used for multi-instance learning MUSK2 has been transformed into ARFF format it can be used directly in weka-Data mining and machine learning the original data set can be used for multi-in
quadrule_prb
- and parallel implementation, and its portfolio optimization, machine learning, image processing, process control, evolutionary neural networks, Fuzzy Pattern Recognition and Artificial Life
机器学习入门资料
- 机器学习资料，可用于机器学习入门，大神讲解(Machine learning data, can be used for machine learning portal, great God explained)
机器学习实战 单页
- 机器学习入门 如果想进一步学习机器学习 这本书的帮助很大 很好(If you want to learn more about machine learning, this book is a great help)