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» Constraints in Weighted Averaging
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138
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CDC
2009
IEEE
379views Control Systems» more  CDC 2009»
15 years 4 months ago
Receding horizon cost optimization for overly constrained nonlinear plants
— A receding horizon control algorithm, originally proposed for tracking best-possible steady-states in the presence of overly stringent state and/or input constraints, is analyz...
David Angeli, Rishi Amrit, James B. Rawlings
CORR
2008
Springer
73views Education» more  CORR 2008»
15 years 27 days ago
A Spectrum-Shaping Perspective on Cognitive Radio
A new perspective on cognitive radio is presented for the case where the primary transmission is in uncoded analog form. The basic idea is to exploit signal-to-noise ratio margins ...
Wenyi Zhang, Urbashi Mitra
ANOR
2010
107views more  ANOR 2010»
14 years 10 months ago
Kusuoka representation of higher order dual risk measures
We derive representations of higher order dual measures of risk in Lp spaces as suprema of integrals of Average Values at Risk with respect to probability measures on (0, 1] (Kusu...
Darinka Dentcheva, Spiridon Penev, Andrzej Ruszczy...
85
Voted
CORR
2010
Springer
103views Education» more  CORR 2010»
14 years 10 months ago
Least Squares Superposition Codes of Moderate Dictionary Size, Reliable at Rates up to Capacity
Sparse superposition codes are developed for the additive white Gaussian noise channel with average codeword power constraint. Codewords are linear combinations of subsets of vecto...
Andrew R. Barron, Antony Joseph
97
Voted
ICML
2005
IEEE
16 years 1 months ago
Semi-supervised graph clustering: a kernel approach
Semi-supervised clustering algorithms aim to improve clustering results using limited supervision. The supervision is generally given as pairwise constraints; such constraints are...
Brian Kulis, Sugato Basu, Inderjit S. Dhillon, Ray...