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In addition, designing efficient proposal distributions for the missing data is typically challenging.
Appropriate pseudopriors resemble efficient proposal distributions and achieve efficient sampling by preventing extremely unlikely parameter values of φ − M v from being sampled.
More efficient proposal distributions have been developed (Stephens et al. 2001; Slatkin 2002; De Lorio and Griffiths 2004; Paul et al. 2011) and can be adopted to improve the computational efficiency of our method.
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So many will balk if approached with this lean and efficient project proposal.
Even though SMAC was not designed to provide QoS, the fact that its main objective is to save energy allows us to assess how energy-efficient our proposal is in addition to providing the other already mentioned benefits.
To guarantee a correct and efficient sampling, each proposal is first tested by a Metropolis acceptance rejection step with a coarse-scale distribution.
Three main contributions are discussed: an efficient data structure proposal adapted to representing the CCT in embedded systems, a memory organization suitable for FPGA implementation by using on-chip memory and a customizable hardware accelerator architecture for CCT-based applications.
As an alternative to this solution, we propose an efficient integration of our proposal with OLSR which is achieved by configuring the latter to forward broadcasted messages.
Another efficient way to implement proposal adaptation has been proposed in [158] where a set-membership constrained particle filtering scheme is developed.
We leverage the boundary-preserving property of superpixels and design an efficient algorithm for object proposal refinement.
Further reductions could lie ahead due to a recently issued executive order calling for a government-wide reorganization to make agencies more efficient, with a formal proposal expected in about a year.
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