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
>
会议
> 会议详情页
Group-based learning - A boosting approach
所属机构名称:南开大学
会议名称:17th ACM Conference on Information and Knowledge Management, CIKM'08
成果类型:会议
会场:Napa Valley, CA, United states
相关项目:信息检索中基于损失函数优化的排序学习研究
作者:
Ni, Weijian|Li, Hang|Huang, Yalou|Xu, Jun|
同会议论文项目
信息检索中基于损失函数优化的排序学习研究
期刊论文 10
会议论文 20
专利 1
同项目会议论文
A generative/discriminative hybrid model: Bayes perceptron classifier
Effective entity resolution in product review domain
Searching documents based on relevance and type
Ranking with query influence weighting for document retrieval
Multiple Ranker Method in Document Retrieval
Definitive results finding in web search environment
A query-level active sampling approach for learning to rank
A Probabilistic Ranking Approach for Tag Recommendation
Social Tag Prediction Base on Supervised Ranking Model
Using SVM with uneven margins to extract acronymexpansions
Uncertainty-based active ranking for document retrieval
An ensemble approach to learning to rank
Boosting over groups and its application to acronym-expansion extraction
A query dependent approach to learning to rank for information retrieval
An efficient ranking SVM based on the transitivity of partial order
Unsupervised multi-graph propagation for ranking based on order change tendency
Online ranking algorithm based on perceptron with margins
Extracting and organizing acronyms based on ranking
Semi-supervised graph-ranking for text retrieval