Titlebook: Individual-based Methods in Forest Ecology and Management; Arne Pommerening,Pavel Grabarnik Textbook 2019 Springer Nature Switzerland AG 2

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书目名称Individual-based Methods in Forest Ecology and Management影响因子(影响力)




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书目名称Individual-based Methods in Forest Ecology and Management网络公开度学科排名




书目名称Individual-based Methods in Forest Ecology and Management被引频次




书目名称Individual-based Methods in Forest Ecology and Management被引频次学科排名




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书目名称Individual-based Methods in Forest Ecology and Management年度引用学科排名




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978-3-030-24530-6Springer Nature Switzerland AG 2019

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陈腐的人

Textbook 2019k unites important methods of individual-based forest ecology and management from point process statistics, individual-based modelling, plant growth science and behavioural statistics. For ease of access, better understanding and transparency the methods are accompanied by R code and worked examples.

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Arne Pommerening,Pavel Grabarnikmparing the positions of embedding vectors and quantifying the impact of attributes on the representation update. Our GERF method updates embedding vectors by optimizing the invariance loss, graph neighbor loss, and attribute the neighbor loss to obtain high-quality embeddings. Experiments on WikiCS

音乐学者

Arne Pommerening,Pavel Grabarnikus to include tokens important to minority classes in the dictionary. The F1 score was utilized to quantitatively assess the quality of classification. Hierarchical classification allowed for faster classification processes than the non-hierarchical approach for the XGBoost classifier. We obtained p

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Wernickes-area

Arne Pommerening,Pavel Grabarnikmachine learning models over a variety of contamination scenarios, but also suggest new metrics that could be utilized to quantify such models’ robustness. Our extensive computational experiments shed more light on the impact of training set contamination on the operational behavior of supervised le