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85
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IJAR
2007
86views more  IJAR 2007»
14 years 11 months ago
Joint propagation of probability and possibility in risk analysis: Towards a formal framework
This paper discusses some aspects of fuzzy random variables obtained by propagating uncertainty in risk analysis when some input parameters are stochastic, while others are determ...
Cédric Baudrit, Inés Couso, Didier D...
JACM
2007
79views more  JACM 2007»
14 years 11 months ago
A new look at survey propagation and its generalizations
This article provides a new conceptual perspective on survey propagation, which is an iterative algorithm recently introduced by the statistical physics community that is very effe...
Elitza N. Maneva, Elchanan Mossel, Martin J. Wainw...
CORR
2010
Springer
171views Education» more  CORR 2010»
14 years 12 months ago
Randomized Lattice Decoding
Sphere decoding achieves maximum-likelihood (ML) performance at the cost of exponential complexity; lattice reduction-aided successive interference cancelation (SIC) significantly...
Shuiyin Liu, Cong Ling, Damien Stehlé
92
Voted
KBSE
2002
IEEE
15 years 4 months ago
What Makes Finite-State Models More (or Less) Testable?
Finite-state machine (FSM) models are commonly used to represent software with concurrent processes. Established model checking tools can be used to automatically test FSM models,...
David Owen, Tim Menzies, Bojan Cukic
SPAA
2009
ACM
15 years 9 months ago
A randomized, o(log w)-depth 2 smoothing network
A K-smoothing network is a distributed, low-contention data structure where tokens arrive arbitrarily on w input wires and reach w output wires via their completely asynchronous p...
Marios Mavronicolas, Thomas Sauerwald