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AUTOMATICA
2005
126views more  AUTOMATICA 2005»
15 years 15 days ago
Relations between uncertainty structures in identification for robust control
Various techniques of system identification exist that provide a nominal model and an uncertainty bound. An important question is what the implications are for the particular choi...
Sippe G. Douma, Paul M. J. Van den Hof
117
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TSP
2008
140views more  TSP 2008»
15 years 14 days ago
On the Dual-Tree Complex Wavelet Packet and M-Band Transforms
The two-band discrete wavelet transform (DWT) provides an octave-band analysis in the frequency domain, but this might not be "optimal" for a given signal. The discrete w...
I. Bayram, Ivan W. Selesnick
TSE
2011
144views more  TSE 2011»
14 years 7 months ago
Genetic Algorithms for Randomized Unit Testing
—Randomized testing is an effective method for testing software units. Thoroughness of randomized unit testing varies widely according to the settings of certain parameters, such...
James H. Andrews, Tim Menzies, Felix Chun Hang Li
136
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JAIR
2002
163views more  JAIR 2002»
15 years 7 days ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
FSS
2010
147views more  FSS 2010»
14 years 11 months ago
A divide and conquer method for learning large Fuzzy Cognitive Maps
Fuzzy Cognitive Maps (FCMs) are a convenient tool for modeling and simulating dynamic systems. FCMs were applied in a large number of diverse areas and have already gained momentu...
Wojciech Stach, Lukasz A. Kurgan, Witold Pedrycz