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» Learning programs from noisy data
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ICML
2010
IEEE
15 years 7 months ago
Detecting Large-Scale System Problems by Mining Console Logs
Surprisingly, console logs rarely help operators detect problems in large-scale datacenter services, for they often consist of the voluminous intermixing of messages from many sof...
Wei Xu, Ling Huang, Armando Fox, David Patterson, ...
ECML
2005
Springer
15 years 11 months ago
Mode Directed Path Finding
Abstract. Learning from multi-relational domains has gained increasing attention over the past few years. Inductive logic programming (ILP) systems, which often rely on hill-climbi...
Irene M. Ong, Inês de Castro Dutra, David Pa...
157
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ISPASS
2006
IEEE
15 years 12 months ago
Comparing multinomial and k-means clustering for SimPoint
SimPoint is a technique used to pick what parts of the program’s execution to simulate in order to have a complete picture of execution. SimPoint uses data clustering algorithms...
Greg Hamerly, Erez Perelman, Brad Calder
ESOP
2010
Springer
15 years 9 months ago
A Semantic Framework for Declassification and Endorsement
Language-based information flow methods offer a principled way to enforce strong security properties, but enforcing noninterference is too inflexible for realistic applications. Se...
Aslan Askarov, Andrew Myers
IJDAR
2006
131views more  IJDAR 2006»
15 years 5 months ago
Genetic engineering of hierarchical fuzzy regional representations for handwritten character recognition
This paper presents a genetic programming based approach for optimizing the feature extraction step of a handwritten character recognizer. This recognizer uses a simple multilayer ...
Christian Gagné, Marc Parizeau