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EDBT
2006
ACM
137views Database» more  EDBT 2006»
16 years 6 months ago
IQN Routing: Integrating Quality and Novelty in P2P Querying and Ranking
Abstract. We consider a collaboration of peers autonomously crawling the Web. A pivotal issue when designing a peer-to-peer (P2P) Web search engine in this environment is query rou...
Sebastian Michel, Matthias Bender, Peter Triantafi...
RSFDGRC
2005
Springer
110views Data Mining» more  RSFDGRC 2005»
16 years 10 hour ago
A Rough Set Based Model to Rank the Importance of Association Rules
Abstract. Association rule algorithms often generate an excessive number of rules, many of which are not significant. It is difficult to determine which rules are more useful, int...
Jiye Li, Nick Cercone
SIAMSC
2011
219views more  SIAMSC 2011»
15 years 1 months ago
Fast Algorithms for Bayesian Uncertainty Quantification in Large-Scale Linear Inverse Problems Based on Low-Rank Partial Hessian
We consider the problem of estimating the uncertainty in large-scale linear statistical inverse problems with high-dimensional parameter spaces within the framework of Bayesian inf...
H. P. Flath, Lucas C. Wilcox, Volkan Akcelik, Judi...
AAAI
2012
13 years 9 months ago
Learning the Kernel Matrix with Low-Rank Multiplicative Shaping
Selecting the optimal kernel is an important and difficult challenge in applying kernel methods to pattern recognition. To address this challenge, multiple kernel learning (MKL) ...
Tomer Levinboim, Fei Sha
SIGIR
2003
ACM
15 years 11 months ago
Exploiting query history for document ranking in interactive information retrieval
In this poster,we incorporate user query history, as context information, to improve the retrieval performance in interactive retrieval. Experiments using the TREC data show that ...
Xuehua Shen, ChengXiang Zhai