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WSC
2004
15 years 7 months ago
Global Likelihood Optimization Via the Cross-Entropy Method, with an Application to Mixture Models
Global likelihood maximization is an important aspect of many statistical analyses. Often the likelihood function is highly multi-extremal. This presents a significant challenge t...
Zdravko I. Botev, Dirk P. Kroese
ICASSP
2010
IEEE
15 years 6 months ago
Multi-class SVM optimization using MCE training with application to topic identification
This paper presents a minimum classification error (MCE) training approach for improving the accuracy of multi-class support vector machine (SVM) classifiers. We have applied th...
Timothy J. Hazen
BMCBI
2007
70views more  BMCBI 2007»
15 years 6 months ago
SAT, a flexible and optimized Web application for SSR marker development
Alexis Dereeper, Xavier Argout, Claire Billot, Jea...