62 search results - page 3 / 13 » A test of genetic algorithms in relevance feedback |
WWW
2008
ACM
14 years 8 months ago
2008
ACM
Contextual advertising supports much of the Web's ecosystem today. User experience and revenue (shared by the site publisher ad the ad network) depend on the relevance of the...
ECAI
2000
Springer
13 years 11 months ago
2000
Springer
In several information retrieval (IR) systems there is a possibility for user feedback. Many machine learning methods have been proposed that learn from the feedback information in...
GECCO
2004
Springer
14 years 22 days ago
2004
Springer
In this study, a new mechanism that adapts the mutation rate for each locus on the chromosomes, based on feedback obtained from the current population is proposed. Through tests us...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
IJCAI
2007
13 years 8 months ago
2007
— Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. ...