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» Computation with imprecise probabilities
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ICASSP
2010
IEEE
15 years 4 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
AI
2008
Springer
15 years 4 months ago
Reachability analysis of uncertain systems using bounded-parameter Markov decision processes
Verification of reachability properties for probabilistic systems is usually based on variants of Markov processes. Current methods assume an exact model of the dynamic behavior a...
Di Wu, Xenofon D. Koutsoukos
ANOR
2010
85views more  ANOR 2010»
15 years 4 months ago
Inventory management with partially observed nonstationary demand
Abstract. We consider a continuous-time model for inventory management with Markov modulated non-stationary demands. We introduce active learning by assuming that the state of the ...
Erhan Bayraktar, Michael Ludkovski
136
Voted
IVC
2008
74views more  IVC 2008»
15 years 4 months ago
On the probabilistic epipolar geometry
In this paper, we are going to answer the following question: assuming that we have estimates for the epipolar geometry and its uncertainty between two views, how probable it is t...
Sami S. Brandt
SIAMJO
2008
93views more  SIAMJO 2008»
15 years 4 months ago
Stochastic Programs with First-Order Dominance Constraints Induced by Mixed-Integer Linear Recourse
We propose a new class of stochastic integer programs whose special features are dominance constraints induced by mixed-integer linear recourse. For these models, we establish clo...
Ralf Gollmer, Frederike Neise, Rüdiger Schult...