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BMCBI
2008
129views more  BMCBI 2008»
13 years 7 months ago
A unified approach to false discovery rate estimation
Background: False discovery rate (FDR) methods play an important role in analyzing highdimensional data. There are two types of FDR, tail area-based FDR and local FDR, as well as ...
Korbinian Strimmer
ICASSP
2011
IEEE
12 years 11 months ago
Belief theoretic methods for soft and hard data fusion
In many contexts, one is confronted with the problem of extracting information from large amounts of different types soft data (e.g., text) and hard data (from e.g., physics-based...
Thanuka Wickramarathne, Kamal Premaratne, Manohar ...
PAMI
2012
11 years 10 months ago
Quantifying and Transferring Contextual Information in Object Detection
— Context is critical for reducing the uncertainty in object detection. However, context modelling is challenging because there are often many different types of contextual infor...
Wei-Shi Zheng, Shaogang Gong, Tao Xiang
GECCO
2009
Springer
173views Optimization» more  GECCO 2009»
14 years 2 months ago
Creating regular expressions as mRNA motifs with GP to predict human exon splitting
Low correlation between mRNA concentrations measured at different locations for the same exon show many current Ensembl exon definitions are incomplete. Automatically created pa...
William B. Langdon, Joanna Rowsell, Andrew P. Harr...
SEFM
2007
IEEE
14 years 2 months ago
An AOP Extended Lambda-Calculus
This paper presents an implicitly-typed functional, aspect-oriented programming language: λ AOP. The main contribution of the paper is a semantics for λ AOP advice weaving. The ...
Dima Alhadidi, Nadia Belblidia, Mourad Debbabi, Pr...