位置：成果数据库 > 期刊 > 期刊详情页
SEMI-SUPERVISED LEARNING: EXPLOITING UNLABELED DATA WITH SYMMETRICAL DISTRIBUTION AND HIGH CONFIDENC
  • ISSN号：0218-0014
  • 期刊名称：International Journal of Pattern Recognition and A
  • 时间：2012.11.1
  • 页码：-
  • 相关项目：基于用户可信度的抗托攻击协同过滤推荐机理研究
作者： Yihao Zhang|Junhao Wen|Fangfang Tang|Zhuo Jiang|
同期刊论文项目
基于用户可信度的抗托攻击协同过滤推荐机理研究
期刊论文 18 会议论文 2
同项目期刊论文
Construction and Implementation of Surveillance System for Software Engineering Oriented Trainings
Detection of Abnormal Item Based on Time Intervals for Recommender Systems
A QoS preference-based algorithm for service composition in service-oriented network
Semi-supervised hybrid clustering by integrating Gaussian mixture model and distance metric learning
中文网络评论观点词汇语义褒贬倾向性判断
多域环境下安全互操作研究
<strong>推荐系统中基于时间间隔的异常项目检测</strong>
Real estate price forecasting based on SVM optimized by PSO
Item Anomaly Detection Based on Time Intervals in Recommender Systems
Study on Reputation Model of E-commerce Networks
A Robust Collaborative Filtering Approach Based on User Relationships for Recommendation Systems
Sales Growth Rate Forecasting Using Improved PSO and SVM
An evaluation approach based on word-of-mouth for trust models in recommendation systems
改进的基因术语间语义相似度计算方法
基于点击反馈模型的内容推荐算法研究
一种基于流行度分类特征的托攻击检测算法