RankCNN: When learning to rank encounters the pseudo preference feedback-Reference-Cited by-同舟云学术

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RankCNN: When learning to rank encounters the pseudo preference feedback

Published:2014-03 Issue:3 Volume:36 Page:554-562
ISSN:0920-5489
Container-title:Computer Standards & Interfaces
language:en
Short-container-title:Computer Standards & Interfaces

Author:

Dong Yuan,Huang Chong,Liu Wei

Publisher

Elsevier BV

Subject

Law,Hardware and Architecture,Software

Reference26 articles.

1. An effective method for color image retrieval based on texture;Xing-yuan;Comput. Stand. Interfaces,2012

2. Learning to Rank: From Pairwise Approach to Listwise Approach;Zhe,2007

3. Support Vector Learning for Ordinal Regression;Herbrich,1999

4. Learning to Rank Using Gradient Descent;Burges,2005

5. An efficient boosting algorithm for combining preference;Freund;J. Mach. Learn. Res.,2003

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Towards emotion-sensitive learning cognitive state analysis of big data in education: deep learning-based facial expression analysis using ordinal information;Computing;2019-05-05

2. Neural Choice by Elimination via Highway Networks;Lecture Notes in Computer Science;2016

3. Bibliometric study of the scientific research on “Learning to Rank” between 2000 and 2013;Scientometrics;2014-11-04

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