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» Methods for comparing rankings of search engine results
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SIGIR
2008
ACM
15 years 1 months ago
A study of methods for negative relevance feedback
Negative relevance feedback is a special case of relevance feedback where we do not have any positive example; this often happens when the topic is difficult and the search result...
Xuanhui Wang, Hui Fang, ChengXiang Zhai
BMCBI
2010
176views more  BMCBI 2010»
15 years 1 months ago
Reverse engineering gene regulatory network from microarray data using linear time-variant model
nd: Gene regulatory network is an abstract mapping of gene regulations in living cells that can help to predict the system behavior of living organisms. Such prediction capability...
Mitra Kabir, Nasimul Noman, Hitoshi Iba
BMCBI
2008
116views more  BMCBI 2008»
15 years 1 months ago
MScanner: a classifier for retrieving Medline citations
Background: Keyword searching through PubMed and other systems is the standard means of retrieving information from Medline. However, ad-hoc retrieval systems do not meet all of t...
Graham L. Poulter, Daniel L. Rubin, Russ B. Altman...
122
Voted
ICNC
2005
Springer
15 years 7 months ago
Harmony Search for Generalized Orienteering Problem: Best Touring in China
In order to overcome the drawbacks of mathematical optimization techniques, soft computing algorithms have been vigorously introduced during the past decade. However, there are sti...
Zong Woo Geem, Chung-Li Tseng, Yongjin Park
160
Voted
SIGIR
2011
ACM
14 years 4 months ago
A boosting approach to improving pseudo-relevance feedback
Pseudo-relevance feedback has proven effective for improving the average retrieval performance. Unfortunately, many experiments have shown that although pseudo-relevance feedback...
Yuanhua Lv, ChengXiang Zhai, Wan Chen