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113
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RSKT
2009
Springer
15 years 7 months ago
Learning Optimal Parameters in Decision-Theoretic Rough Sets
A game-theoretic approach for learning optimal parameter values for probabilistic rough set regions is presented. The parameters can be used to define approximation regions in a p...
Joseph P. Herbert, Jingtao Yao
100
Voted
SARA
2009
Springer
15 years 7 months ago
Modelling Equidistant Frequency Permutation Arrays in Constraints
Equidistant Frequency Permutation Arrays are combinatorial objects of interest in coding theory. A frequency permutation array is a type of constant composition code in which each...
Ian P. Gent, Paul McKay, Ian Miguel, Peter Nightin...
CDC
2008
IEEE
150views Control Systems» more  CDC 2008»
15 years 7 months ago
Subgradient methods and consensus algorithms for solving convex optimization problems
— In this paper we propose a subgradient method for solving coupled optimization problems in a distributed way given restrictions on the communication topology. The iterative pro...
Björn Johansson, Tamás Keviczky, Mikae...
91
Voted
CDC
2008
IEEE
129views Control Systems» more  CDC 2008»
15 years 7 months ago
Distributed motion constraints for algebraic connectivity of robotic networks
— This paper studies connectivity maintenance of robotic networks that communicate at discrete times and move in continuous space. We propose a distributed algorithm that allows ...
Michael Schuresko, Jorge Cortés
GLOBECOM
2008
IEEE
15 years 7 months ago
A Low-Signalling Scheme for Distributed Resource Allocation in Multi-Cellular OFDMA Systems
—This paper considers distributed protocol design for joint sub-carrier, transmission scheduling and power management in uplink/downlink multi-cellular OFDMA wireless networks. T...
Pablo Soldati, Mikael Johansson