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BMCBI
2010
106views more  BMCBI 2010»
13 years 10 months ago
Selection of optimal reference genes for normalization in quantitative RT-PCR
Background: Normalization in real-time qRT-PCR is necessary to compensate for experimental variation. A popular normalization strategy employs reference gene(s), which may introdu...
Inna Chervoneva, Yanyan Li, Stephanie Schulz, Sean...
ARTMED
1999
92views more  ARTMED 1999»
13 years 10 months ago
Two-Stage Machine Learning model for guideline development
We present a Two-Stage Machine Learning (ML) model as a data mining method to develop practice guidelines and apply it to the problem of dementia staging. Dementia staging in clin...
Subramani Mani, William Rodman Shankle, Malcolm B....
TASLP
2002
124views more  TASLP 2002»
13 years 10 months ago
A robust compensation strategy for extraneous acoustic variations in spontaneous speech recognition
In this paper, we propose a robust compensation strategy to deal effectively with extraneous acoustic variations for spontaneous speech recognition. This strategy extends speaker a...
Hui Jiang, Li Deng
ICST
2010
IEEE
13 years 9 months ago
Automated and Scalable T-wise Test Case Generation Strategies for Software Product Lines
Abstract—Software Product Lines (SPL) are difficult to validate due to combinatorics induced by variability across their features. This leads to combinatorial explosion of the n...
Gilles Perrouin, Sagar Sen, Jacques Klein, Benoit ...
MTA
2010
85views more  MTA 2010»
13 years 9 months ago
Investigating fuzzy DLs-based reasoning in semantic image analysis
Recent advances in semantic image analysis have brought forth generic methodologies to support concept learning at large scale. The attained performance however is highly variable,...
Stamatia Dasiopoulou, Ioannis Kompatsiaris, Michae...