[1]蒋宗礼,李涵昱.面向排序学习的锦标赛排序特征选择方法[J].计算机技术与发展,2014,24(02):50-54.
 JIANG Zong-li,LI Han-yu.Championships Sort Feature Selection Method of Oriented Learning to Rank[J].,2014,24(02):50-54.
点击复制

面向排序学习的锦标赛排序特征选择方法()
分享到:

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年02期
页码:
50-54
栏目:
智能、算法、系统工程
出版日期:
2014-02-28

文章信息/Info

Title:
Championships Sort Feature Selection Method of Oriented Learning to Rank
文章编号:
1673-629X(2014)02-0050-05
作者:
蒋宗礼李涵昱
北京工业大学 计算机学院
Author(s):
JIANG Zong-liLI Han-yu
关键词:
特征选择排序学习信息检索
Keywords:
feature selectionlearning to rankinformation retrieval
分类号:
TP301
文献标志码:
A
摘要:
排序问题在信息检索领域是一个非常重要的课题。虽然排序学习模型的算法早已被深入研究,但针对排序学习算法中的特征选择的研究却很少。现实的情况是,许多用于分类的特征选择方法被直接应用到排序学习中。但由于排序和分类有着显著的差异,应研究出针对排序的特征选择算法。文中在介绍常用的排序学习的特征选择方法的基础上,提出了一种全新的、适用于QA问题的排序学习的特征选择方法-锦标赛排序特征选择方法。实验结果显示,这种新的特征选择方法在提高特征提取效率和降低特征向量维数方面都有显著改善。
Abstract:
Ranking is a very important topic in information retrieval. And algorithms for learning to ranking models have been intensively studied,this is not the case for feature selection,despite of its importance. The reality is that many feature selection methods used in classi-fication are directly applied to ranking. Argue that because of the striking differences between ranking and classification,it is better to de-velop different feature selection methods for ranking. To this end,a new feature selection method in this paper is proposed. The feature se-lection based on common feature selection methods,a novel method adapting better to learning to rank of QA problems,the champion-ships sort feature selection method is proposed in this paper. The experimental results show that,this method can improve the efficiency of feature selection and reduce the dimensions of the feature vector.

相似文献/References:

[1]刘利 何先平 袁文亮.股票趋势预测中Wrapper方法的研究与应用[J].计算机技术与发展,2010,(01):209.
 LIU Li,HE Xian-ping,YUAN Wen-liang.Research and Application of Wrapper Approach to Stock Trend Prediction[J].,2010,(02):209.
[2]黄炜 黄志华.一种基于遗传算法和SVM的特征选择[J].计算机技术与发展,2010,(06):21.
 HUANG Wei,HUANG Zhi-hua.Feature Selection Based on Genetic Algorithm and SVM[J].,2010,(02):21.
[3]张家柏 王小玲.基于聚类和二进制PSO的特征选择[J].计算机技术与发展,2010,(06):25.
 ZHANG Jia-bai,WANG Xiao-ling.A Novel Algorithm Based on K-Means Clustering and Binary Particle Swarm Optimization[J].,2010,(02):25.
[4]冯甲策 叶明 王惠文.基于Gram—Schmidt过程的支持向量机降维方法[J].计算机技术与发展,2009,(11):7.
 FENG Jia-ce,YE Ming,WANG Hui-wen.Dimension Reduction Method of Support Vector Machine Based on Gram- Schmidt Process[J].,2009,(02):7.
[5]林伟 柳荣其 徐熙.邮件过滤中一种改进的特征选择方法研究[J].计算机技术与发展,2009,(01):84.
 LIN Wei,LIU Rong-qi,XU Xi.Improvement of Feature Selection Algorithm in Spam Filtering[J].,2009,(02):84.
[6]刘毅 张月琳.基于Agent的邮件过滤与个性化分类系统设计[J].计算机技术与发展,2009,(02):66.
 LIU Yi,ZHANG Yue-lin.Design of a Mail Filter and Personalized Classification System Based on Agent[J].,2009,(02):66.
[7]陈素萍 谢丽聪.一种文本特征选择方法的研究[J].计算机技术与发展,2009,(02):112.
 CHEN Su-ping,XIE Li-cong.Research on Document Feature Selection[J].,2009,(02):112.
[8]段震 王倩倩 张燕平 张铃.覆盖算法下文本分类特征选择的研究[J].计算机技术与发展,2008,(11):29.
 DUAN Zhen,WANG Qian-qian,ZHANG Yan-ping,et al.Study on Feature Selection of Text Classification in Cross Cover Algorithm[J].,2008,(02):29.
[9]王希雷.基于Rough集理论的车牌汉字特征提取[J].计算机技术与发展,2007,(06):26.
 WANG Xi-lei.Car Plate Chinese Character Feature Extraction Based on Rough Set Theory[J].,2007,(02):26.
[10]董梅 胡学钢.基于多特征选择的中文文本分类[J].计算机技术与发展,2007,(07):117.
 DONG Mei,HU Xue-gang.Text Categorization Based on Multiple Features Selection[J].,2007,(02):117.

更新日期/Last Update: 1900-01-01