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AI
2008
Springer
13 years 10 months ago
The measurement of ranks and the laws of iterated contraction
: Ranking theory delivers an account of iterated contraction; each ranking function induces a specific iterated contraction behavior. The paper shows how to reconstruct a ranking f...
Matthias Hild, Wolfgang Spohn
BMCBI
2008
99views more  BMCBI 2008»
13 years 10 months ago
Ranking analysis of F-statistics for microarray data
Background: Microarray technology provides an efficient means for globally exploring physiological processes governed by the coordinated expression of multiple genes. However, ide...
Yuan-De Tan, Myriam Fornage, Hongyan Xu
APWEB
2009
Springer
14 years 1 months ago
Effective Top-k Keyword Search in Relational Databases Considering Query Semantics
Keyword search in relational databases has recently emerged as a new research topic. As a search result is often assembled from multiple relational tables, existing IR-style rankin...
Yanwei Xu, Yoshiharu Ishikawa, Jihong Guan
EMNLP
2010
13 years 7 months ago
Automatic Keyphrase Extraction via Topic Decomposition
Existing graph-based ranking methods for keyphrase extraction compute a single importance score for each word via a single random walk. Motivated by the fact that both documents a...
Zhiyuan Liu, Wenyi Huang, Yabin Zheng, Maosong Sun
JMLR
2011
106views more  JMLR 2011»
13 years 4 months ago
A Bayesian Approximation Method for Online Ranking
This paper describes a Bayesian approximation method to obtain online ranking algorithms for games with multiple teams and multiple players. Recently for Internet games large onli...
Ruby C. Weng, Chih-Jen Lin