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JORS
2011
67views more  JORS 2011»
15 years 1 months ago
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
A. K. Miranda, E. Del Castillo
JMLR
2010
149views more  JMLR 2010»
15 years 1 months ago
Fast Committee-Based Structure Learning
Current methods for causal structure learning tend to be computationally intensive or intractable for large datasets. Some recent approaches have speeded up the process by first m...
Ernest Mwebaze, John A. Quinn
NECO
2010
101views more  NECO 2010»
15 years 1 months ago
Large-Margin Classification in Infinite Neural Networks
We introduce a new family of positive-definite kernels for large margin classification in support vector machines (SVMs). These kernels mimic the computation in large neural netwo...
Youngmin Cho, Lawrence K. Saul
TEC
2010
129views more  TEC 2010»
15 years 1 months ago
Expensive Multiobjective Optimization by MOEA/D With Gaussian Process Model
In some expensive multiobjective optimization problems, several function evaluations can be carried out at one time. Therefore, it is very desirable to develop methods which can g...
Qingfu Zhang, Wudong Liu, Edward P. K. Tsang, Boto...
TSP
2010
15 years 1 months ago
A Doppler robust max-min approach to radar code design
Abstract--This correspondence considers the problem of robust waveform design in the presence of colored Gaussian disturbance under a similarity and an energy constraint. We resort...
Antonio De Maio, Yongwei Huang, Marco Piezzo