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» Evaluating Score Normalization Methods in Data Fusion
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AIRS
2006
Springer
13 years 8 months ago
Evaluating Score Normalization Methods in Data Fusion
In data fusion, score normalization is a step to make scores, which are obtained from different component systems for all documents, comparable to each other. It is an indispensabl...
Shengli Wu, Fabio Crestani, Yaxin Bi
CIKM
2009
Springer
13 years 11 months ago
A signal-to-noise approach to score normalization
Score normalization is indispensable in distributed retrieval and fusion or meta-search where merging of result-lists is required. Distributional approaches to score normalization...
Avi T. Arampatzis, Jaap Kamps
BMCBI
2007
122views more  BMCBI 2007»
13 years 5 months ago
TAP score: torsion angle propensity normalization applied to local protein structure evaluation
Background: Experimentally determined protein structures may contain errors and require validation. Conformational criteria based on the Ramachandran plot are mainly used to disti...
Silvio C. E. Tosatto, Roberto Battistutta
SIGIR
2012
ACM
11 years 7 months ago
Unsupervised linear score normalization revisited
We give a fresh look into score normalization for merging result-lists, isolating the problem from other components. We focus on three of the simplest, practical, and widelyused l...
Ilya Markov, Avi Arampatzis, Fabio Crestani
BMCBI
2010
104views more  BMCBI 2010»
12 years 12 months ago
A systematic study of genome context methods: calibration, normalization and combination
Background: Genome context methods have been introduced in the last decade as automatic methods to predict functional relatedness between genes in a target genome using the patter...
Luciana Ferrer, Joseph M. Dale, Peter D. Karp