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» Controlling Engineering Problem Solving
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103
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COMPSAC
2004
IEEE
15 years 6 months ago
A Development Framework for Rapid Meta-Heuristics Hybridization
While meta-heuristics are effective for solving large-scale combinatorial optimization problems, they result from time-consuming trial-and-error algorithm design tailored to speci...
Hoong Chuin Lau, Wee Chong Wan, Min Kwang Lim, Ste...
155
Voted
PAMI
2012
13 years 5 months ago
Task-Driven Dictionary Learning
—Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience, and signal proce...
Julien Mairal, Francis Bach, Jean Ponce
90
Voted
GECCO
2005
Springer
115views Optimization» more  GECCO 2005»
15 years 8 months ago
Search-based improvement of subsystem decompositions
The subsystem decomposition of a software system degrades gradually during its lifetime and therefore it gets harder and harder to maintain. As a result this decomposition needs t...
Olaf Seng, Markus Bauer, Matthias Biehl, Gert Pach...
98
Voted
COMPSAC
2002
IEEE
15 years 7 months ago
Software Maintainability Improvement: Integrating Standards and Models
Software standards are highly recommended because they promise faster and more efficient ways for software development with proven techniques and standard notations. Designers who...
William C. Chu, Chih-Wei Lu, Chih-Hung Chang, Yeh-...
118
Voted
KBSE
1998
IEEE
15 years 6 months ago
An Automated Framework for Structural Test-Data Generation
Structural testing criteria are mandated in many software development standards and guidelines. The process of generating test-data to achieve 100 coverage of a given structural c...
Nigel Tracey, John A. Clark, Keith Mander, John A....