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JC
2008
128views more  JC 2008»
15 years 6 months ago
Lattice rule algorithms for multivariate approximation in the average case setting
We study multivariate approximation for continuous functions in the average case setting. The space of d variate continuous functions is equipped with the zero mean Gaussian measu...
Frances Y. Kuo, Ian H. Sloan, Henryk Wozniakowski
ISBI
2004
IEEE
16 years 7 months ago
Detection of Functional Networks In The Resting Brain
Recently, increasing attention has focused on exploring brain activity during rest. A current challenge is to ascertain activity patterns without using an external reference. In t...
Yong He, Yufeng Zang, Tianzi Jiang, Yingli Lu, Xuc...
FOCS
2006
IEEE
16 years 13 days ago
Fast Algorithms for Logconcave Functions: Sampling, Rounding, Integration and Optimization
We prove that the hit-and-run random walk is rapidly mixing for an arbitrary logconcave distribution starting from any point in the support. This extends the work of [26], where t...
László Lovász, Santosh Vempal...
176
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GECCO
2005
Springer
155views Optimization» more  GECCO 2005»
15 years 12 months ago
A pareto archive evolutionary strategy based radial basis function neural network training algorithm for failure rate prediction
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
Grant Cochenour, Jerad Simon, Sanjoy Das, Anil Pah...
INFOCOM
2003
IEEE
15 years 11 months ago
Target-Pursuing Policies for Open Multiclass Queueing Networks
—We propose a new parametric class of scheduling and routing policies for open multiclass queueing networks. We establish their stability and show they are amenable to distribute...
Ioannis Ch. Paschalidis, Chang Su, Michael Caraman...