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» Some new iterative methods with three-order convergence
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ICPR
2006
IEEE
14 years 8 months ago
The Generalized Condensed Nearest Neighbor Rule as A Data Reduction Method
In this paper, we propose a new data reduction algorithm that iteratively selects some samples and ignores others that can be absorbed, or represented, by those selected. This alg...
Bo-Han Kuo, Chien-Hsing Chou, Fu Chang
ICML
1995
IEEE
14 years 8 months ago
Residual Algorithms: Reinforcement Learning with Function Approximation
A number of reinforcement learning algorithms have been developed that are guaranteed to converge to the optimal solution when used with lookup tables. It is shown, however, that ...
Leemon C. Baird III
CANDC
2005
ACM
13 years 7 months ago
MSAID: multiple sequence alignment based on a measure of information discrepancy
We propose an algorithm of global multiple sequence alignment that is based on a measure of what we call information discrepancy. The algorithm follows a progressive alignment ite...
Min Zhang, Weiwu Fang, Junhua Zhang, Zhongxian Chi
MMAS
2011
Springer
12 years 10 months ago
Sweeping Preconditioner for the Helmholtz Equation: Moving Perfectly Matched Layers
This paper introduces a new sweeping preconditioner for the iterative solution of the variable coefficient Helmholtz equation in two and three dimensions. The algorithms follow th...
Björn Engquist, Lexing Ying
DAC
2010
ACM
13 years 5 months ago
A robust periodic arnoldi shooting algorithm for efficient analysis of large-scale RF/MM ICs
The verification of large radio-frequency/millimeter-wave (RF/MM) integrated circuits (ICs) has regained attention for high-performance designs beyond 90nm and 60GHz. The traditio...
Xuexin Liu, Hao Yu, Sheldon X.-D. Tan