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ICASSP
2008
IEEE
15 years 5 months ago
Learning the kernel via convex optimization
The performance of a kernel-based learning algorithm depends very much on the choice of the kernel. Recently, much attention has been paid to the problem of learning the kernel it...
Seung-Jean Kim, Argyrios Zymnis, Alessandro Magnan...
ORL
2008
82views more  ORL 2008»
14 years 11 months ago
On test sets for nonlinear integer maximization
A finite test set for an integer optimization problem enables us to verify whether a feasible point attains the global optimum. We establish in this paper several general results ...
Jon Lee, Shmuel Onn, Robert Weismantel
ICTAI
1997
IEEE
15 years 3 months ago
Toward the Optimization of a Class of Black Box Optimization Algorithms
Many black box optimization algorithms have sufcient exibility to allow them to adapt to the varying circumstances they encounter. These capabilities are of two primary sorts: 1) ...
Gang Wang, Erik D. Goodman, William F. Punch III
ENVSOFT
2007
258views more  ENVSOFT 2007»
14 years 11 months ago
Optimal groundwater monitoring design using an ant colony optimization paradigm
Groundwater long-term monitoring (LTM) is required to assess the performance of groundwater remediation and human being health risk at post-closure sites where groundwater contami...
Yuanhai Li, Amy B. Chan Hilton
CEC
2010
IEEE
15 years 5 days ago
Two-stage based ensemble optimization for large-scale global optimization
Large-scale global optimization (LSGO) is a very important and challenging task in optimization domain, which is embedded in many scientific and engineering applications. In this p...
Yu Wang, Bin Li