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
Privacy-Preserving One-Class Support Vector Machine with Vertically Partitioned Data
期刊名称:International Journal of Multimedia and Ubiquitou
时间:0
页码:-
相关项目:基于先验知识的支持向量机的最优化模型与算法研究
作者:
Qiang Lin|Huimin Pei|Kuaini Wang|Ping Zhong|
同期刊论文项目
基于先验知识的支持向量机的最优化模型与算法研究
期刊论文 23
同项目期刊论文
A Feature Selection Method for Twin Support Vector Regression
A New Multi-Class Support Vector Algorithm Based on Privileged Information
Flood Runoff Prediction Using LS-SVR Based on Sliding Time Window
Improving Support Vector Cassification by Learning Group Information Hidden in The Data
One-Class Support Tensor Machine
Privacy-Preserving One-Class Support Vector Machine with Horizontally Partitioned Data
Robust Support Vector Regression with Flexible Loss Function
A New One-Class SVM Based on Hidden Information
Linear One-Class Support Tensor Machine
Multiple instance classificationbased on least squares twin support vector machine
Minimum Class Variance SVM+ for Data Classification
Successive Least Squares Support Vector Machine for Multiple Instance Classification
Robust Support Vector Regression with Generalized Loss Function and Applications
Least Absolute Deviation Support Vector Regression
Robust non-convex least squares loss function for regression with outliers
Sparse Multiple Kernel for Least Square Support Vector Regression
Least Squares Fuzzy One-Class Support Vector Machine for Imbalanced Data
用于处理不平衡样本的改进近似支持向量机新算法