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» Automatically finding patches using genetic programming
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CORR
2006
Springer
130views Education» more  CORR 2006»
13 years 10 months ago
Genetic Programming for Kernel-based Learning with Co-evolving Subsets Selection
Abstract. Support Vector Machines (SVMs) are well-established Machine Learning (ML) algorithms. They rely on the fact that i) linear learning can be formalized as a well-posed opti...
Christian Gagné, Marc Schoenauer, Mich&egra...
GECCO
2008
Springer
145views Optimization» more  GECCO 2008»
13 years 11 months ago
Memory with memory: soft assignment in genetic programming
Based in part on observations about the incremental nature of most state changes in biological systems, we introduce the idea of Memory with Memory in Genetic Programming (GP), wh...
Nicholas Freitag McPhee, Riccardo Poli
HOTSWUP
2009
ACM
14 years 1 months ago
Efficient Systematic Testing for Dynamically Updatable Software
Recent years have seen significant advances in dynamic software updating (DSU) systems, which allow programs to be patched on the fly. However, a significant challenge remains: Ho...
Christopher M. Hayden, Eric A. Hardisty, Michael W...
GECCO
2006
Springer
185views Optimization» more  GECCO 2006»
14 years 1 months ago
Convergence to global optima for genetic programming systems with dynamically scaled operators
This work shows asymptotic convergence to global optima for a family of dynamically scaled genetic programming systems where the underlying population consists of a fixed number o...
Lothar M. Schmitt, Stefan Droste
FMCAD
2008
Springer
13 years 11 months ago
Automatic Generation of Local Repairs for Boolean Programs
Automatic techniques for software verification focus on obtaining witnesses of program failure. Such counterexamples often fail to localize the precise cause of an error and usuall...
Roopsha Samanta, Jyotirmoy V. Deshmukh, E. Allen E...