DocumentCode :
1086672
Title :
Bootstrap - Inspired Techniques in Computation Intelligence
Author :
Polikar, Robi
Author_Institution :
Rowan Univ., Glassboro
Volume :
24
Issue :
4
fYear :
2007
fDate :
7/1/2007 12:00:00 AM
Firstpage :
59
Lastpage :
72
Abstract :
This article is about the success story of a seemingly simple yet extremely powerful approach that has recently reached a celebrity status in statistical and engineering sciences. The hero of this story - bootstrap resampling - is relatively young, but the story itself is a familiar one within the scientific community: a mathematician or a statistician conceives and formulates a theory that is first developed by fellow mathematicians and then brought to fame by other professionals, typically engineers, who point to many applications that can benefit from just such an approach. Signal processing boasts some of the finest examples of such stories, such as the classic story of Fourier transforms or the more contemporary tale of wavelet transforms.
Keywords :
computer bootstrapping; learning (artificial intelligence); signal processing; Fourier transforms; bootstrap resampling; computational intelligence; computer bootstrapping; signal processing; wavelet transforms; Competitive intelligence; Computational intelligence; Data engineering; Fellows; Fourier transforms; Power engineering and energy; Power engineering computing; Signal processing; Signal processing algorithms; Statistical distributions;
fLanguage :
English
Journal_Title :
Signal Processing Magazine, IEEE
Publisher :
ieee
ISSN :
1053-5888
Type :
jour
DOI :
10.1109/MSP.2007.4286565
Filename :
4286565
Link To Document :
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