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» Kernels for Global Constraints
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ICDCS
2007
IEEE
14 years 3 months ago
Distributed Density Estimation Using Non-parametric Statistics
Learning the underlying model from distributed data is often useful for many distributed systems. In this paper, we study the problem of learning a non-parametric model from distr...
Yusuo Hu, Hua Chen, Jian-Guang Lou, Jiang Li
IJCNN
2006
IEEE
14 years 3 months ago
Learning to Rank by Maximizing AUC with Linear Programming
— Area Under the ROC Curve (AUC) is often used to evaluate ranking performance in binary classification problems. Several researchers have approached AUC optimization by approxi...
Kaan Ataman, W. Nick Street, Yi Zhang
ICCV
2003
IEEE
14 years 11 months ago
Globally Convergent Autocalibration
Existing autocalibration techniques use numerical optimization algorithms that are prone to the problem of local minima. To address this problem, we have developed a method where ...
Arrigo Benedetti, Alessandro Busti, Michela Farenz...
ATAL
2005
Springer
14 years 2 months ago
Global convergence of local agent behaviors
Many multi-agent systems seek to reconcile two apparently inconsistent constraints. The system’s overall objective is defined at a global level. However, the agents have only lo...
H. Van Dyke Parunak, Sven Brueckner, John A. Saute...
FSTTCS
2010
Springer
13 years 7 months ago
Global Model Checking of Ordered Multi-Pushdown Systems
In this paper, we address the verification problem of ordered multi-pushdown systems: A multistack extension of pushdown systems that comes with a constraint on stack operations s...
Mohamed Faouzi Atig