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» Extremal Problems of Information Combining
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ICML
2010
IEEE
13 years 10 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, ...
IJCAI
1993
13 years 10 months ago
Statistical Foundations for Default Reasoning
We describe a new approach to default reasoning, based on a principle of indi erence among possible worlds. We interpret default rules as extreme statistical statements, thus obta...
Fahiem Bacchus, Adam J. Grove, Joseph Y. Halpern, ...
ICFP
2012
ACM
11 years 11 months ago
Transporting functions across ornaments
Programming with dependent types is a blessing and a curse. It is a blessing to be able to bake invariants into the definition of datatypes: we can finally write correct-by-cons...
Pierre-Évariste Dagand, Conor McBride
AI
2005
Springer
13 years 9 months ago
Constraint-based reasoning and privacy/efficiency tradeoffs in multi-agent problem solving
Because of privacy concerns, agents may not want to reveal information that could be of use in problem solving. As a result, there are potentially important tradeoffs between main...
Richard J. Wallace, Eugene C. Freuder
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
14 years 2 months ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen