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CCGRID
2006
IEEE
14 years 1 months ago
Statistical Data Reduction for Efficient Application Performance Monitoring
There is a growing need for systems that can monitor and analyze application performance data automatically in order to deliver reliable and sustained performance to applications....
Lingyun Yang, Jennifer M. Schopf, Catalin Dumitres...
MT
2007
100views more  MT 2007»
13 years 7 months ago
Semi-supervised model adaptation for statistical machine translation
Statistical machine translation systems are usually trained on large amounts of bilingual text (used to learn a translation model), and also large amounts of monolingual text in th...
Nicola Ueffing, Gholamreza Haffari, Anoop Sarkar
GECCO
2008
Springer
133views Optimization» more  GECCO 2008»
13 years 8 months ago
Using feature-based fitness evaluation in symbolic regression with added noise
Symbolic regression is a popular genetic programming (GP) application. Typically, the fitness function for this task is based on a sum-of-errors, involving the values of the depe...
Janine H. Imada, Brian J. Ross
EMNLP
2009
13 years 5 months ago
Feasibility of Human-in-the-loop Minimum Error Rate Training
Minimum error rate training (MERT) involves choosing parameter values for a machine translation (MT) system that maximize performance on a tuning set as measured by an automatic e...
Omar Zaidan, Chris Callison-Burch
CDC
2009
IEEE
135views Control Systems» more  CDC 2009»
14 years 8 days ago
Trust Estimation in autonomic networks: a statistical mechanics approach
— Trust management, broadly intended as the ability to maintain belief relationship among entities, is recognized as a fundamental security challenge for autonomous and selforgan...
Stefano Ermon, Luca Schenato, Sandro Zampieri