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PASTE
2010
ACM
15 years 8 months ago
Learning universal probabilistic models for fault localization
Recently there has been significant interest in employing probabilistic techniques for fault localization. Using dynamic dependence information for multiple passing runs, learnin...
Min Feng, Rajiv Gupta
NIPS
2000
15 years 4 months ago
Learning Continuous Distributions: Simulations With Field Theoretic Priors
Learning of a smooth but nonparametric probability density can be regularized using methods of Quantum Field Theory. We implement a field theoretic prior numerically, test its eff...
Ilya Nemenman, William Bialek
ECMDAFA
2007
Springer
100views Hardware» more  ECMDAFA 2007»
15 years 9 months ago
Reverse Engineering Models from Traces to Validate Distributed Systems - An Industrial Case Study
The paper targets the applicability of model-driven methodologies to the validation of complex systems and presents a case study of a mobile radio network. Validation relies on the...
Andreas Ulrich, Alexandre Petrenko
CVPR
2007
IEEE
16 years 5 months ago
Fast Terrain Classification Using Variable-Length Representation for Autonomous Navigation
We propose a method for learning using a set of feature representations which retrieve different amounts of information at different costs. The goal is to create a more efficient ...
Anelia Angelova, Larry Matthies, Daniel M. Helmick...
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IPPS
2007
IEEE
15 years 9 months ago
Optimizing Sorting with Machine Learning Algorithms
The growing complexity of modern processors has made the development of highly efficient code increasingly difficult. Manually developing highly efficient code is usually expen...
Xiaoming Li, María Jesús Garzar&aacu...