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PSD
2004
Springer
132views Database» more  PSD 2004»
13 years 10 months ago
Computational Experiments with Minimum-Distance Controlled Perturbation Methods
Minimum-distance controlled perturbation is a recent family of methods for the protection of statistical tabular data. These methods are both efficient and versatile, since can dea...
Jordi Castro
PR
2006
93views more  PR 2006»
13 years 5 months ago
Learning the kernel parameters in kernel minimum distance classifier
Choosing appropriate values for kernel parameters is one of the key problems in many kernel-based methods because the values of these parameters have significant impact on the per...
Daoqiang Zhang, Songcan Chen, Zhi-Hua Zhou
RECOMB
2007
Springer
14 years 5 months ago
An Efficient Method for Dynamic Analysis of Gene Regulatory Networks and in silico Gene Perturbation Experiments
With the increasing availability of experimental data on gene-gene and protein-protein interactions, modeling of gene regulatory networks has gained a special attention lately. To ...
Abhishek Garg, Ioannis Xenarios, Luis Mendoza, Gio...
ISCAS
2005
IEEE
110views Hardware» more  ISCAS 2005»
13 years 11 months ago
Controlling chaos in DC/DC converters using optimal resonant parametric perturbation
—The method of resonant parametric perturbation is a simple non-feedback chaos control method which is easy to implement in practice. In this paper, an optimal strategy is applie...
Yufei Zhou, Herbert H. C. Iu, Chi Kong Tse, Jun-Ni...
JDCTA
2010
272views more  JDCTA 2010»
13 years 2 days ago
Optimal Control of Nonlinear Systems Using the Homotopy Perturbation Method: Infinite Horizon Case
This paper presents a new method for solving a class of infinite horizon nonlinear optimal control problems. In this method, first the original optimal control problem is transfor...
Amin Jajarmi, Hamidreza Ramezanpour, Arman Sargolz...