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MP
2006
75views more  MP 2006»
13 years 6 months ago
A Class of stochastic programs with decision dependent uncertainty
We address a class of problems where decisions have to be optimized over a time horizon given that the future is uncertain and that the optimization decisions influence the time o...
Vikas Goel, Ignacio E. Grossmann
DATE
2007
IEEE
92views Hardware» more  DATE 2007»
14 years 1 months ago
Dynamic power management under uncertain information
This paper tackles the problem of dynamic power management (DPM) in nanoscale CMOS design technologies that are typically affected by increasing levels of process, voltage, and te...
Hwisung Jung, Massoud Pedram
GANDC
2011
105views more  GANDC 2011»
12 years 6 months ago
Adjacent versus coincident representations of geospatial uncertainty: Which promote better decisions?
3D geological models commonly built to manage natural resources are much affected by uncertainty because most of the subsurface is inaccessible to direct observation. Appropriate ...
Thomas Viard, Guillaume Caumon, Bruno Lévy
FLAIRS
2007
13 years 9 months ago
Probabilistic Knowledge Processing and Remaining Uncertainty
Information is indispensable in preparing economic decisions purposefully. In this paper knowledge is represented by a probability distribution. Knowledge acquisition is realized ...
Elmar Reucher, Friedhelm Kulmann
IJRR
2011
218views more  IJRR 2011»
13 years 1 months ago
Motion planning under uncertainty for robotic tasks with long time horizons
Abstract Partially observable Markov decision processes (POMDPs) are a principled mathematical framework for planning under uncertainty, a crucial capability for reliable operation...
Hanna Kurniawati, Yanzhu Du, David Hsu, Wee Sun Le...