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ANOR
2010
135views more  ANOR 2010»
15 years 7 months ago
A framework of irregularity enlightenment for data pre-processing in data mining
Abstract Irregularities are widespread in large databases and often lead to erroneous conclusions with respect to data mining and statistical analysis. For example, considerable bi...
Siu-Tong Au, Rong Duan, Siamak G. Hesar, Wei Jiang
BIB
2008
141views more  BIB 2008»
15 years 7 months ago
Detecting short tandem repeats from genome data: opening the software black box
Short tandem repeats, specifically microsatellites, are widely used genetic markers, associated with human genetic diseases, and play an important role in various regulatory mecha...
Angelika Merkel, Neil Gemmell
BMCBI
2008
123views more  BMCBI 2008»
15 years 7 months ago
Pol II promoter prediction using characteristic 4-mer motifs: a machine learning approach
Background: Eukaryotic promoter prediction using computational analysis techniques is one of the most difficult jobs in computational genomics that is essential for constructing a...
Firoz Anwar, Syed Murtuza Baker, Taskeed Jabid, Md...
HEURISTICS
2008
120views more  HEURISTICS 2008»
15 years 6 months ago
A local linear embedding module for evolutionary computation optimization
A Local Linear Embedding (LLE) module enhances the performance of two Evolutionary Computation (EC) algorithms employed as search tools in global optimization problems. The LLE em...
Fabio Boschetti
CORR
2006
Springer
98views Education» more  CORR 2006»
15 years 6 months ago
Enabling user-driven Checkpointing strategies in Reverse-mode Automatic Differentiation
This paper presents a new functionality of the Automatic Differentiation (AD) Tool tapenade. tapenade generates adjoint codes which are widely used for optimization or inverse prob...
Laurent Hascoët, Mauricio Araya-Polo