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» Adaptive nonstationary regression analysis
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TSP
2010
13 years 4 months ago
Steady-state MSE performance analysis of mixture approaches to adaptive filtering
In this paper, we consider mixture approaches that adaptively combine outputs of several parallel running adaptive algorithms. These parallel units can be considered as diversity b...
Suleyman Serdar Kozat, Alper T. Erdogan, Andrew C....
JMLR
2010
128views more  JMLR 2010»
13 years 8 months ago
On the Rate of Convergence of the Bagged Nearest Neighbor Estimate
Bagging is a simple way to combine estimates in order to improve their performance. This method, suggested by Breiman in 1996, proceeds by resampling from the original data set, c...
Gérard Biau, Frédéric C&eacut...
ECAI
2006
Springer
14 years 1 months ago
Least Squares SVM for Least Squares TD Learning
Abstract. We formulate the problem of least squares temporal difference learning (LSTD) in the framework of least squares SVM (LS-SVM). To cope with the large amount (and possible ...
Tobias Jung, Daniel Polani
ICSE
1994
IEEE-ACM
14 years 2 months ago
TestTube: A System for Selective Regression Testing
This paper describes a system called TESTTUBE that combines static and dynamic analysis to perform selective retesting of software systems written in C. TESTTUBEfirst identifies w...
Yih-Farn Chen, David S. Rosenblum, Kiem-Phong Vo
TCOM
2008
124views more  TCOM 2008»
13 years 9 months ago
Reliable adaptive modulation and interference mitigation for mobile radio slow frequency hopping channels
: Due to correlated fading in frequency hopping (FH) wireless communication systems, it is possible to predict the future channel state information (CSI) for one frequency based on...
Ming Lei, Alexandra Duel-Hallen, Hans Hallen