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101
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IJCAI
2007
15 years 4 months ago
Relevance Estimation and Value Calibration of Evolutionary Algorithm Parameters
— 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. ...
Volker Nannen, A. E. Eiben
CIKM
2003
Springer
15 years 7 months ago
Statistical transliteration for english-arabic cross language information retrieval
Out of vocabulary (OOV) words are problematic for cross language information retrieval. One way to deal with OOV words when the two languages have different alphabets, is to trans...
Nasreen Abdul Jaleel, Leah S. Larkey
ISPASS
2008
IEEE
15 years 9 months ago
Independent Component Analysis and Evolutionary Algorithms for Building Representative Benchmark Subsets
— This work addresses the problem of building representative subsets of benchmarks from an original large set of benchmarks, using statistical analysis techniques. The subsets sh...
Vassilios N. Christopoulos, David J. Lilja, Paul R...
129
Voted
EUROGP
2007
Springer
143views Optimization» more  EUROGP 2007»
15 years 6 months ago
Confidence Intervals for Computational Effort Comparisons
Abstract. When researchers make alterations to the genetic programming algorithm they almost invariably wish to measure the change in performance of the evolutionary system. No one...
Matthew Walker, Howard Edwards, Chris H. Messom
156
Voted
ICIP
2003
IEEE
16 years 4 months ago
Statistical learning for effective visual information retrieval
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...
Edward Y. Chang, Beitao Li, Gang Wu, Kingshy Goh