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» Methods of Automatic Algorithm Generation
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ALMOB
2006
155views more  ALMOB 2006»
15 years 4 months ago
Refining motifs by improving information content scores using neighborhood profile search
The main goal of the motif finding problem is to detect novel, over-represented unknown signals in a set of sequences (e.g. transcription factor binding sites in a genome). The mo...
Chandan K. Reddy, Yao-Chung Weng, Hsiao-Dong Chian...
GECCO
2005
Springer
163views Optimization» more  GECCO 2005»
15 years 9 months ago
Benefits of software measures for evolutionary white-box testing
White-box testing is an important method for the early detection of errors during software development. In this process test case generation plays a crucial role, defining appropr...
Frank Lammermann, Stefan Wappler
ECAI
1998
Springer
15 years 8 months ago
Diagnosis of Active Systems
Abstract: Lazy computation is not new in model-based diagnosis of active systems (and of discreteevent systems in general). Up to a decade ago, diagnosis methods for discrete-event...
Pietro Baroni, Gianfranco Lamperti, Paolo Pogliano...
BMCBI
2007
112views more  BMCBI 2007»
15 years 4 months ago
Inferring biological functions and associated transcriptional regulators using gene set expression coherence analysis
Background: Gene clustering has been widely used to group genes with similar expression pattern in microarray data analysis. Subsequent enrichment analysis using predefined gene s...
Tae-Min Kim, Yeun-Jun Chung, Mun-Gan Rhyu, Myeong ...
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
16 years 4 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo