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» Discrete stochastic optimization using linear interpolation
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CDC
2010
IEEE
160views Control Systems» more  CDC 2010»
13 years 3 months ago
Aggregation-based model reduction of a Hidden Markov Model
This paper is concerned with developing an information-theoretic framework to aggregate the state space of a Hidden Markov Model (HMM) on discrete state and observation spaces. The...
Kun Deng, Prashant G. Mehta, Sean P. Meyn
CORR
2010
Springer
98views Education» more  CORR 2010»
13 years 8 months ago
Structure-Aware Stochastic Control for Transmission Scheduling
In this report, we consider the problem of real-time transmission scheduling over time-varying channels. We first formulate the transmission scheduling problem as a Markov decisio...
Fangwen Fu, Mihaela van der Schaar
PE
2006
Springer
107views Optimization» more  PE 2006»
13 years 8 months ago
Efficient steady-state analysis of second-order fluid stochastic Petri nets
This paper presents an efficient solution technique for the steady-state analysis of the second-order Stochastic Fluid Model underlying a second-order Fluid Stochastic Petri Net (...
Marco Gribaudo, Rossano Gaeta
CVPR
2010
IEEE
14 years 4 months ago
Discrete minimum ratio curves and surfaces
Graph cuts have proven useful for image segmentation and for volumetric reconstruction in multiple view stereo. However, solutions are biased: the cost function tends to favour ei...
Fred Nicolls, Phil Torr
FOCS
2005
IEEE
14 years 2 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys