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NIPS
2004
13 years 10 months ago
Log-concavity Results on Gaussian Process Methods for Supervised and Unsupervised Learning
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
Liam Paninski
ICIP
2009
IEEE
13 years 6 months ago
Fluorescence diffuse optical image reconstruction with a priori information
This paper addresses fluorescence diffuse optical tomography (FDOT) reconstruction problem with a priori information. We assume that approximate location of the fluorophore concen...
Lu Zhou, An Jin, Birsen Yazici
EMO
2009
Springer
190views Optimization» more  EMO 2009»
14 years 3 months ago
Solving Bilevel Multi-Objective Optimization Problems Using Evolutionary Algorithms
Abstract. Bilevel optimization problems require every feasible upperlevel solution to satisfy optimality of a lower-level optimization problem. These problems commonly appear in ma...
Kalyanmoy Deb, Ankur Sinha
AMCS
2010
146views Mathematics» more  AMCS 2010»
13 years 8 months ago
Sensor network design for the estimation of spatially distributed processes
satisfactory network connectivity have dominated this line of research and abstracted away from the mathematical description of the physical processes underlying the observed pheno...
Dariusz Ucinski, Maciej Patan
EOR
2011
124views more  EOR 2011»
13 years 3 months ago
Analysis of order-up-to-level inventory systems with compound Poisson demand
: We analyse a single echelon single item inventory system where the demand and the lead time are stochastic. Demand is modelled as a compound Poisson process and the stock is cont...
M. Zied Babai, Zied Jemaï, Yves Dallery