The importance of scaling up
نویسندگان
چکیده
منابع مشابه
Scaling-up Importance Sampling for Markov Logic Networks
Markov Logic Networks (MLNs) are weighted first-order logic templates for generating large (ground) Markov networks. Lifted inference algorithms for them bring the power of logical inference to probabilistic inference. These algorithms operate as much as possible at the compact first-order level, grounding or propositionalizing the MLN only as necessary. As a result, lifted inference algorithms...
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Policy experiments have often been touted as valuable mechanisms for ensuring sustainability transitions and climate change adaptation. However problems exist both in the definition of ‘experiments’, and in their design and realization. While valuable, most experiments examined in the literature to date have been small-scale micro-level deployments or evaluations of policy tools in which the mo...
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Most analytical and experimental results on evolutionary programming (EP) are obtained using low-dimensional problems, e.g., smaller than 50. It is unclear, however, whether the empirical results obtained from the low-dimensional problems still hold for high-dimensional cases. This paper investigates the behaviour of four diierent EP algorithms for large-scale problems, i.e., problems whose dim...
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ژورنال
عنوان ژورنال: Nature Reviews Neuroscience
سال: 2012
ISSN: 1471-003X,1471-0048
DOI: 10.1038/nrn3373