搜索资源列表
MultimediaDemoApp
- 相当板扎,采用贝叶斯公式的垃圾邮件过滤程序-quite plate Sul, the formula used Bayesian spam filters
dbacl.tar
- dbacl是一个通用目的的digramic贝叶斯文本分类器。它可以学习你提供的文本,接着用 学到的类别来比较新的输入。它可以用于垃圾邮件过滤,或在你自己的外壳脚本中使用。 -dbacl is a general-purpose text digramic Bayesian classifier. It can learn to provide you with the text, then uses learned relatively new type of input. It can be
matlab3
- 图象分析,灰度调整,图象过滤等实用的MATLAB程序-image analysis, gray scale, image filtering, and practical procedures for MATLAB
FilterEnter(C++)
- 用C++编制字符过滤程序,C++编写,环境为VC++6.0-C filter characters preparation procedures, C, the environment for the VC 6.0
Mpeg2decoder1
- mpeg2 decoder filter过滤服务端-mpeg2 decoder filter filtering service -
ruleGenerationWin
- 改算法基于遗传算法,学习训练数据得到规则库 常用于字符过滤等领域
ReadDir
- 该程序实现的是一个垃圾邮件过滤系统,方法采用的是NAIVE Bayes,语料库用的是LINspam—public,程序中有使用说明,希望大家一起探讨改进一下,
vista
- 贝叶斯算法源代码以及它应用于垃圾短信过滤的源代码。是用java写的算法。-Bayesian algorithm source code and how it applies to the source code for filtering spam messages. Algorithm is written in java.
BayesMailFilterC
- C++ 关于贝叶斯算法的邮件过滤系统的实现,-mail filter system on the Bayesian algorithm to achieve the realization of the C++
协同过滤算法C++实现
- 一个用C++实现的典型协同过滤算法,相关度计算皮尔森相关系数,供大家参考。
基于用户的协同过滤推荐算法MATLAB
- 此代码为一个基于协同过滤的推荐算法,为基于用户的KNN协同过滤,由MATLAB实现,并计算MEA和RMSE
itemcf
- Hadoop平台上的物品协同过滤程序,使用Java语言编写(A Item Collaborate Filter Program based on Hadoop platform written by Java)
分析zachary的派系过滤和谱平均算法
- 两个用来分析zachary网络的简易方法,一种是谱平均算法,一种是派系过滤算法(Two simple methods for analyzing Zachary networks, one is spectral averaging algorithm, and the other is clique filtering algorithm)
cross-filter
- 电影推荐系统,运用协同过滤算法,运行ex8_cofi进入主程序(The application of collaborative filtering algorithm in movie recommendation system)
machine-learning-ex8
- 吴恩达机器学习公开课第九周作业,教你如何用“协同过滤”算法实现电影推荐系统(Andrew NG machine learning open class ninth weeks assignment to teach you how to use the "collaborative filtering" algorithm to implement the movie recommendation system)
大数据_协同过滤_梯度下降
- 给定10000个用户和他们对10000个电影的评价,然后通过协同过滤或梯度下降算法,用训练集训练数据,预测出用户对未看的电影的评分,并与测试集对比验证预测结果的准确性(You can learn Chinese,and read the Chinese introduction.)
GudongRecommendation-master
- 基于深度学习和协同过滤算法实现问卷调查内容推荐,通过深度学习中的tensflow构建项目评分矩阵,利用协同过滤算法产生推荐结果。(Based on the depth learning and collaborative filtering algorithm, the content of the questionnaire is recommended. The project score matrix is constructed through the tensflow in depth
filter_exp_mx.R
- 应用于RNA-seq的数据分析,脚本过滤expression matrix中低表达与library size较小的样本(filter out expression matrix from RNA-seq)
协同过滤推荐
- 使用协同过滤算法产生推荐矩阵,进而产生推荐结果
CollaborativeFiltering-master
- 协同过滤算法的实现,基于协同过滤算法的推荐系统,在电子商务领域有着极为广泛的应用。(Collaborative Filtering)