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JAIR
2002
163views more  JAIR 2002»
15 years 1 months 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
SIAMSC
2008
140views more  SIAMSC 2008»
15 years 1 months ago
Compact Fourier Analysis for Designing Multigrid Methods
The convergence of Multigrid methods can be analyzed based on a Fourier analysis of the method or by proving certain inequalities that have to be fulfilled by the smoother and by t...
Thomas K. Huckle
VLSID
2002
IEEE
91views VLSI» more  VLSID 2002»
16 years 1 months ago
Rational ABCD Modeling of High-Speed Interconnects
This paper introduces a new numerical approximation technique, called the Differential Quadrature Method (DQM), in order to derive the rational ABCD matrix representing the high-s...
Qinwei Xu, Pinaki Mazumder
JMLR
2010
103views more  JMLR 2010»
14 years 8 months ago
Learning Nonlinear Dynamic Models from Non-sequenced Data
Virtually all methods of learning dynamic systems from data start from the same basic assumption: the learning algorithm will be given a sequence of data generated from the dynami...
Tzu-Kuo Huang, Le Song, Jeff Schneider
COST
2009
Springer
176views Multimedia» more  COST 2009»
15 years 6 months ago
Pathological Voice Analysis and Classification Based on Empirical Mode Decomposition
Empirical mode decomposition (EMD) is an algorithm for signal analysis recently introduced by Huang. It is a completely datadriven non-linear method for the decomposition of a sign...
Gastón Schlotthauer, María Eugenia T...