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Published in 2018 at "Synthese"
DOI: 10.1007/s11229-018-1859-8
Abstract: Sagoff (Synthese 193:3003–3024, 2016 ) criticizes widely used “theoretical” methods in ecology; arguing that those methods employ models that rely on problematic metaphysical assumptions and are therefore uninformative and useless for practical decision-making. In this…
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Keywords:
informative ecological;
without ecological;
ecological forces;
models without ... See more keywords
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Published in 2019 at "Medical Image Analysis"
DOI: 10.1016/j.media.2019.04.008
Abstract: Highlights • A framework for automatically learning shape and appearance models without manual annotations.• Designed to run within a distributed privacy preserving framework.• When used as a pattern recognition approach, can give competitive classification accuracies…
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Keywords:
learning shape;
models without;
shape appearance;
appearance models ... See more keywords
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Published in 2019 at "Monthly Notices of the Royal Astronomical Society"
DOI: 10.1093/mnras/stz1359
Abstract: Covariance matrix estimation is a persistent challenge for cosmology. We focus on a class of model covariance matrices that can be generated with high accuracy and precision, using a tiny fraction of the computational resources…
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Keywords:
matrices accurate;
covariance matrices;
large covariance;
accurate models ... See more keywords