In: Algorithms, 2020, vol. 13, no. 12, p. 17
Incomplete data are a common feature in many domains, from clinical trials to industrial applications. Bayesian networks (BNs) are often used in these domains because of their graphical and causal interpretations. BN parameter learning from incomplete data is usually implemented with the Expectation-Maximisation algorithm (EM), which computes the relevant sufficient statistics (“soft EM”) ...
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In: Climatic Change, 2015, vol. 130, no. 2, p. 171-183
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In: Regional Environmental Change, 2015, vol. 15, no. 3, p. 529-538
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In: Current Opinion in Environmental Sustainability, 2019, vol. 39, p. 147–152
Adaptation to changing and new environmental conditions is of fundamental importance to sustainability and requires concerted efforts amongst science, policy, and practice to produce solution-oriented knowledge. Joint knowledge production or co-production of knowledge have become increasingly popular terms to describe the process of scientists, policy makers and actors from the civil society...
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In: CHIMIA International Journal for Chemistry, 2019, vol. 73, no. 9, p. 720–723
Photochemical reactions are often presented as intrinsically environmentally friendly ('green'). This may be indeed the case, but only in particular circumstances. This short essay comments on various aspects of the greenness of photochemical reactions, both in a historical (when only mercury-based hard UV light sources were available) and a current (with the recent introduction of LED...
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In: sozialpolitik.ch, 2019, vol. 1, no. 1, p. Article: 1.1
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In: Environmental Economics and Policy Studies, 2014, vol. 16, no. 2, p. 171-199
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In: Environmental Management, 2014, vol. 54, no. 5, p. 983-1004
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In: Conservation Genetics, 2014, vol. 15, no. 3, p. 533-545
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In: Sustainability Science, 2014, vol. 9, no. 4, p. 463-481
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