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National Science Review, 2017 Current deep-learning models are mostly built upon neural networks, i.e. multiple layers of parameterized differentiable non-linear modules that can be trained by backpropagation. In this paper, we explore the possibility of building deep models based on
Zhi-Hua Zhou, Ji Feng
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Current Biology, 2020 Vergés and Campbell introduce the kelp forest ecosystem.
Adriana, Vergés, Alexandra H, Campbell
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Nanomaterials, 2022 The growing development and applications of nanomaterials lead to an increasing release of these materials in the environment. The adverse effects they may elicit on ecosystems or human health are not always fully characterized.
Valérie Forest
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Homogenization methods and mechanics of generalized continua - part 2 [PDF]
Theoretical and Applied Mechanics, 2002 The need for generalized continua arises in several areas of the mechanics of heterogeneous materials, especially in homogenization theory. A generalized homogeneous substitution medium is necessary at the global level when the structure made of a ...
Forest S.
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The drivers and impacts of Amazon forest degradation
Science, 2023 Approximately 2.5 × 106 square kilometers of the Amazon forest are currently degraded by fire, edge effects, timber extraction, and/or extreme drought, representing 38% of all remaining forests in the region.
D. Lapola +34 more
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Integrated global assessment of the natural forest carbon potential
Nature, 2023 Analysis of ground-sourced and satellite-derived models reveals a global forest carbon potential of 226 Gt outside agricultural and urban lands, with a difference of only 12% across these modelling approaches. Forests are a substantial terrestrial carbon
Lidong Mo +231 more
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Hyperparameters and tuning strategies for random forest [PDF]
WIREs Data Mining Knowl. Discov., 2018 The random forest (RF) algorithm has several hyperparameters that have to be set by the user, for example, the number of observations drawn randomly for each tree and whether they are drawn with or without replacement, the number of variables drawn ...
Philipp Probst +2 more
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Médiations & Médiatisations, 2022 Publié en 2022 dans la collection « Formation à distance | Distance learning » des Presses de l’Université du Québec, l’ouvrage collectif L’enseignement des mathématiques : une transition des cours en présentiel vers la formation à distance est sous la ...
Marie-Pier Forest
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A random forest guided tour [PDF]
Test (Madrid), 2015 The random forest algorithm, proposed by L. Breiman in 2001, has been extremely successful as a general-purpose classification and regression method.
G. Biau, Erwan Scornet
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Emerging signals of declining forest resilience under climate change
Nature, 2022 Forest ecosystems depend on their capacity to withstand and recover from natural and anthropogenic perturbations (that is, their resilience)1. Experimental evidence of sudden increases in tree mortality is raising concerns about variation in forest ...
G. Forzieri +4 more
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