欢迎您!
东篱公司
退出
申报数据库
申报指南
立项数据库
成果数据库
期刊论文
会议论文
著 作
专 利
项目获奖数据库
位置:
成果数据库
>
期刊
> 期刊详情页
Selecting feature subset for high dimensional data via the propositional FOIL rules
ISSN号:0031-3203
期刊名称:Pattern Recognition
时间:2013
页码:199-214
相关项目:基于机器学习的VMM内存映像老化机理研究
作者:
Guangtao Wang|宋擒豹|Baowen Xu|Yuming ZHou|
同期刊论文项目
基于机器学习的VMM内存映像老化机理研究
期刊论文 19
会议论文 3
同项目期刊论文
数据流变化检测研究综述
软件更改可能性预测中的重要性度量研究
基于Boosting的集成k-NN软件缺陷预测方法
一种k-NN分类器k值自动选取方法
A novel feature subset selection algorithm based on association rule mining
A Fast Clustering-Based Feature Subset Selection Algorithm for High-Dimensional Data
Automatic recommendation of classification algorithms based on data set characteristics
Predicting software project effort: A grey relational analysis based method
A Feature Subset Selection Algorithm Automatic Recommendation Method
Data quality: Some comments on the NASA software defect datasets
An empirical analysis of software changes on statement entity in java open source projects
Using coding-based ensemble learning to improve software defect prediction
ESC: An efficient synchronization-based clustering algorithm
An in-depth investigation into the relationships between structural metrics and unit testability in
Towards Online Multiresolution Community Detection in Large-Scale Networks
Boosting-based k-NN learning for software defect prediction