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. 2016 Sep 11;66(1):e66–e82. doi: 10.1093/sysbio/syw077

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© The Author(s) 2016. Published by Oxford University Press, on behalf of the Society of Systematic Biologists.

This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Figure 11. — The basic idea of BOLFI is to model the distance, and to prioritize regions of the parameter space where the distance tends to be small. The solid curves show the modeled average behavior of the distance , and the dashed curves its variability for the tuberculosis example. a) After initialization (30 data points). b) After active data acquisition (200 data points).

Inline graphic — The basic idea of BOLFI is to model the distance, and to prioritize regions of the parameter space where the distance tends to be small. The solid curves show the modeled average behavior of the distance , and the dashed curves its variability for the tuberculosis example. a) After initialization (30 data points). b) After active data acquisition (200 data points).