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BMCBI
2010
118views more  BMCBI 2010»
14 years 12 months ago
From learning taxonomies to phylogenetic learning: Integration of 16S rRNA gene data into FAME-based bacterial classification
Background: Machine learning techniques have shown to improve bacterial species classification based on fatty acid methyl ester (FAME) data. Nonetheless, FAME analysis has a limit...
Bram Slabbinck, Willem Waegeman, Peter Dawyndt, Pa...
BMCBI
2008
129views more  BMCBI 2008»
14 years 12 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
14 years 3 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
13 years 2 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
SEFM
2007
IEEE
15 years 6 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...