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CORR
2011
Springer
214views Education» more  CORR 2011»
13 years 10 days ago
Convex Approaches to Model Wavelet Sparsity Patterns
Statistical dependencies among wavelet coefficients are commonly represented by graphical models such as hidden Markov trees (HMTs). However, in linear inverse problems such as d...
Nikhil S. Rao, Robert D. Nowak, Stephen J. Wright,...
EOR
2006
97views more  EOR 2006»
13 years 8 months ago
Bayesian portfolio selection with multi-variate random variance models
We consider multi-period portfolio selection problems for a decision maker with a specified utility function when the variance of security returns is described by a discrete time ...
Refik Soyer, Kadir Tanyeri
WSC
1997
13 years 10 months ago
An Integrated Framework for Deterministic and Stochastic Optimization
In recent articles we presented a general methodology for finite optimization. The new method, the Nested Partitions (NP) method, combines partitioning, random sampling, a select...
Leyuan Shi, Sigurdur Ólafsson
ISBI
2002
IEEE
14 years 1 months ago
A shape reconstruction method for diffuse optical tomography using a transport model and level sets
A two-step shape reconstruction method for diffuse optical tomography (DOT) is presented which uses adjoint fields and level sets. The propagation of near-infrared photons in tis...
O. Dorn
AAAI
1998
13 years 10 months ago
Solving Very Large Weakly Coupled Markov Decision Processes
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, L...