位置：成果数据库 > 会议 > 会议详情页
Logistic Regression for Transductive Transfer Learning from Multiple Sources
  • 所属机构名称：合肥工业大学
  • 会议名称：6th International Conference on Advanced Data Mining and Applications, ADMA 2010
  • 成果类型：会议
  • 相关项目：基于特征发现的数据流概念漂移问题研究
作者： Zhang, Yuhong|Hu, Xuegang|Fang, Yucheng|
同会议论文项目
基于特征发现的数据流概念漂移问题研究
期刊论文 29 会议论文 20
同项目会议论文
Learning from Concept Drifting Data Streams with Unlabeled Data
Online streaming feature selection
Causal Discovery from Streaming Features
An Ensemble Method Based on Confidence Probability for Multi-domain Sentiment Classification
Online Causal Discovery
A Weighted Algorithm of Inductive Transfer Learning Based on Maximum Entropy Model
Privacy Preserving Attribute Reduction for Vertically Partitioned Data
K-Means Clustering with Bagging and MapReduce
Causal Associative Classification
Personalized News Filtering and Summarization on the Web
Privacy Preserving Attribute Reduction for Horizontally Partitioned Data
Random Ensemble Decision Trees for Learning Concept-Drifting Data Streams
Keyword Extraction Based on Sequential Pattern Mining
Concept Drifting Detection on Noisy Streaming Data in Random Ensemble Decision Trees
A Distributed Cache for Hadoop Distributed File System in Real-time Cloud Services
A Classification Algorithm for Noisy Data Streams
Sequential Pattern Mining with Wildcards
An Efficient Ensemble Method for Classifying Skewed Data Streams
A Double-Window-based Classification Algorithm for Concept Drifting Data Streams