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» Rank based variation operators for genetic algorithms
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EDBT
2009
ACM
208views Database» more  EDBT 2009»
14 years 5 months ago
Flexible and efficient querying and ranking on hyperlinked data sources
There has been an explosion of hyperlinked data in many domains, e.g., the biological Web. Expressive query languages and effective ranking techniques are required to convert this...
Ramakrishna Varadarajan, Vagelis Hristidis, Louiqa...
BIOCOMP
2010
13 years 7 months ago
Using the Genetic Code Wisdom for Recognizing Protein Coding Sequences
We have elaborated a new method of recognizing protein coding sequences in genomic sequences. The method is exploiting a specific way of genetic code degeneration and relations bet...
Pawel Blazej, Pawel Mackiewicz, Stanislaw Cebrat
NAACL
2007
13 years 11 months ago
Combining Probability-Based Rankers for Action-Item Detection
This paper studies methods that automatically detect action-items in e-mail, an important category for assisting users in identifying new tasks, tracking ongoing ones, and searchi...
Paul N. Bennett, Jaime G. Carbonell
PPSN
1998
Springer
14 years 1 months ago
Comparison of Evolutionary Algorithms for Design Optimization
The production of specimen for microsystems or microcomponents is both, time and material-consuming. In a traditional design process the number of possible variations which can be ...
Wilfried Jakob, Martina Gorges-Schleuter, Ingo Sie...
ICIP
2008
IEEE
14 years 4 months ago
Microarray image gridding via an evolutionary algorithm
Gridding is the first, essential stage of processing cDNA microarray images. The existing tools for allocating the grid structure in a microarray image often require human interve...
Eleni Zacharia, Dimitris Maroulis