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» Polymorphism and Genetic Programming
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ISSTA
2009
ACM
14 years 5 months ago
Time-aware test-case prioritization using integer linear programming
Techniques for test-case prioritization re-order test cases to increase their rate of fault detection. When there is a fixed time budget that does not allow the execution of all ...
Lu Zhang, Shan-Shan Hou, Chao Guo, Tao Xie, Hong M...
BMCBI
2007
161views more  BMCBI 2007»
13 years 11 months ago
Efficient classification of complete parameter regions based on semidefinite programming
Background: Current approaches to parameter estimation are often inappropriate or inconvenient for the modelling of complex biological systems. For systems described by nonlinear ...
Lars Kuepfer, Uwe Sauer, Pablo A. Parrilo
ISSTA
2004
ACM
14 years 4 months ago
Evolutionary testing in the presence of loop-assigned flags: a testability transformation approach
Evolutionary testing is an effective technique for automatically generating good quality test data. However, for structural testing, the technique degenerates to random testing i...
André Baresel, David Binkley, Mark Harman, ...
JIB
2008
76views more  JIB 2008»
13 years 10 months ago
WebStruct and VisualStruct: web interfaces and visualization for Structure software implemented in a cluster environment
Structure, is a widely used software tool to investigate population genetic structure with multi-locus genotyping data. The software uses an iterative algorithm to group individua...
B. Jayashree, S. Rajgopal, David A. Hoisington, V....
GECCO
2005
Springer
136views Optimization» more  GECCO 2005»
14 years 4 months ago
Preventing overfitting in GP with canary functions
Overfitting is a fundamental problem of most machine learning techniques, including genetic programming (GP). Canary functions have been introduced in the literature as a concept ...
Nate Foreman, Matthew P. Evett