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a-decentralized-positioning-scheme
- 根据资料中的论文，部分编写了代码验证了该方案，实现了该定位方法的仿真。-According to the data in the paper, part of the proposed method is validated through the code, and realize the simulation of the positioning method.
C4.5
- 改进型的决策树算法，特别的实用，欢迎大家下载，也可以用到论文算法中-Improved decision tree algorithm, especially useful, welcome to download, you can also use paper algorithm
sparse-subspace-clustering
- 关于稀疏子空间聚类的算法程序实现，及对应的论文，matlab源码实现。-On sparse subspace clustering algorithm procedures, and the corresponding paper, matlab source code.
LSASummarization-a-paper
- lsasummarization 用 lsa 来干文摘的工作。 配套论文-lsasummarization leverages lsa language model in the task of text summarization
kmeansPP
- kmeans 算法的改进算法 名字为kmeans++算法，参考的文献为 kmeans++： an efficient algorithm。。。。算法他人所写，这里上传，以方便同行传阅-this is a algorithm named k_means++. reference the paper : an efficient algorithm ...
k_clique
- [X,Y,Z] = k_clique(k,A) Inputs: k - clique size A - adjacency matrix Outputs: X - detected communities Y - all cliques (i.e. complete subgraphs that are not parts of larger complete subgraphs) Z - k-clique matrix-k-clique alg
v15i09
- 基于SVM的回归分析，以及其R语言中的四个安装包-Currently four R packages contain SVM related software. The purpose of this paper is to present and compare these implementations.
MyBGD
- its a paper about cloud computing, it s was very usful for me I hop that for you also, by regard,-its a paper about cloud computing, it s was very usful for me I hop that for you also, by regard,
KSVD
- ELAD论文中的KSVD分解标准程序，可对照论文进行理解-ELAD papers in the KSVD decomposition standard procedures, can be controlled to understand the paper
semi-supervised-cluster-algorithm
- 半监督聚类是利用少量的标记数据提高聚类算法的性能，文中综述了半监督聚类算法的若干进展-Semi supervised clustering is a method to improve the performance of clustering algorithm by using a small amount of labeled data,Some advances about semi supervised clustering algorithms are reviewed in thi
Mereotopology
- 一篇介绍Mereotopology的论文，介绍Mereotopology的基本概念和广义粗集表示方法-An introduction Mereotopology paper introduces the basic concepts and Mereotopology generalized representation of rough set
Naive-bayes
- 本文以拼写检查作为例子，讲解Naive Bayes分类器是如何实现的。对于用户输入的一个单词（words），拼写检查试图推断出最有可能的那个正确单词（correct）。当然，输入的单词有可能本身就是正确的。比如，输入的单词thew，用户有可能是想输入the，也有可能是想输入thaw。为了解决这个问题，Naive Bayes分类器采用了后验概率P(c|w)来解决这个问题。P(c|w)表示在发生了w的情况下推断出c的概率。为了找出最有可能c，应找出有最大值的P(c|w)，即求解问题-In this
icwsm14-T4-code
- 利用开源SNAP网络处理工具进行网络分析，是已经发表过的论文中用到的，目的主要是为了推广SNAP工具包。-SNAP network processing using an open source tool for network analysis, already published in the paper used, the main purpose is to promote SNAP toolkit.
Sogou-character-porfile
- 介绍人物标签处理的过程，从数据采集，分词，预处理，算法选择以及结果展示方面来介绍相关过程。-This paper introduces the process of character label processing, and introduces the process of data acquisition, word segmentation, preprocessing, algorithm selection and result display.
deep_complex_networks-master
- 该存储库包含重现深层复杂网络文章中提供的实验的代码。(This repository contains code which reproduces experiments presented in the paper Deep Complex Networks.)
GAM
- 主要利用R语言进行广义加法模型，进行回归预测(This paper mainly uses R language to carry on the generalized additive model, and carries on the regression forecast)
python-knn
- 主要利用Python软件，利用KNN算法对垃圾邮件进行分类(This paper mainly uses Python software to classify spam mail by using KNN algorithm)