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AAAI
2008
15 years 3 months ago
Computing Minimal Diagnoses by Greedy Stochastic Search
Most algorithms for computing diagnoses within a modelbased diagnosis framework are deterministic. Such algorithms guarantee soundness and completeness, but are P 2 hard. To overc...
Alexander Feldman, Gregory M. Provan, Arjan J. C. ...
103
Voted
AUTOMATICA
2008
123views more  AUTOMATICA 2008»
15 years 1 months ago
Identification with stochastic sampling time jitter
This work investigates how stochastic sampling jitter noise affects the result of system identification, and proposes a modification of known approaches to mitigate the effects of...
Frida Eng, Fredrik Gustafsson
105
Voted
EOR
2008
200views more  EOR 2008»
15 years 1 months ago
A dynamic stochastic programming model for international portfolio management
We develop a multi-stage stochastic programming model for international portfolio management in a dynamic setting. We model uncertainty in asset prices and exchange rates in terms...
Nikolas Topaloglou, Hercules Vladimirou, Stavros A...
106
Voted
EOR
2007
88views more  EOR 2007»
15 years 1 months ago
The stochastic location model with risk pooling
In this paper, we present a stochastic version of the Location Model with Risk Pooling (LMRP) that optimizes location, inventory, and allocation decisions under random parameters ...
Lawrence V. Snyder, Mark S. Daskin, Chung-Piaw Teo
119
Voted
NPL
2002
110views more  NPL 2002»
15 years 21 days ago
Biologically Plausible Associative Memory: Continuous Unit Response + Stochastic Dynamics
A neural network model of associative memory is presented which unifies the two historically more relevant enhancements to the basic Little-Hopfield discrete model: the graded resp...
Enrique Carlos Segura Meccia, Roberto P. J. Perazz...