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IDT
2010
124views more  IDT 2010»
14 years 8 months ago
Modelling decision making with probabilistic causation
Humans know how to reason based on cause and effect, but cause and effect is not enough to draw conclusions due to the problem of imperfect information and uncertainty. To resol...
Luís Moniz Pereira, Carroline Kencana Ramli
HPCA
2004
IEEE
15 years 10 months ago
Reducing the Scheduling Critical Cycle Using Wakeup Prediction
For highest performance, a modern microprocessor must be able to determine if an instruction is ready in the same cycle in which it is to be selected for execution. This creates a...
Todd E. Ehrhart, Sanjay J. Patel
GLVLSI
2007
IEEE
111views VLSI» more  GLVLSI 2007»
15 years 4 months ago
Probabilistic gate-level power estimation using a novel waveform set method
A probabilistic power estimation technique for combinational circuits is presented. A novel set of simple waveforms is the kernel of this technique. The transition density of each...
Saeeid Tahmasbi Oskuii, Per Gunnar Kjeldsberg, Ein...
ICC
2007
IEEE
104views Communications» more  ICC 2007»
15 years 4 months ago
A Novel Graph Model for Maximum Survivability in Mesh Networks under Multiple Generic Risks
— This paper investigates the path protection problem in mesh networks under multiple generic risks. Disjoint logical links may fail simultaneously if they share the same compone...
Qingya She, Xiaodong Huang, Jason P. Jue
PODS
2007
ACM
139views Database» more  PODS 2007»
15 years 9 months ago
Management of probabilistic data: foundations and challenges
Many applications today need to manage large data sets with uncertainties. In this paper we describe the foundations of managing data where the uncertainties are quantified as pro...
Nilesh N. Dalvi, Dan Suciu