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  • Search: subject:"hierarchical attention neural networks"
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Year of publication
Subject
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data mining 2 data representation 2 hierarchical attention neural networks 2 insurance big data 2 natural language processing 2 representational learning 2 unstructured data 2 Big Data 1 Big data 1 Data Mining 1 Data mining 1 Forecasting model 1 Neural networks 1 Neuronale Netze 1 Prognoseverfahren 1 Risikomodell 1 Risk model 1 Theorie 1 Theory 1
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Online availability
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Free 2 CC license 1
Type of publication
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Article 2
Type of publication (narrower categories)
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Article 1 Article in journal 1 Aufsatz in Zeitschrift 1
Language
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English 2
Author
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Baillargeon, Jean-Thomas 2 Lamontagne, Luc 2 Marceau, Etienne 2
Published in...
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Risks 1 Risks : open access journal 1
Source
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ECONIS (ZBW) 1 EconStor 1
Showing 1 - 2 of 2
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Mining actuarial risk predictors in accident descriptions using recurrent neural networks
Baillargeon, Jean-Thomas; Lamontagne, Luc; Marceau, Etienne - In: Risks 9 (2021) 1, pp. 1-14
One crucial task of actuaries is to structure data so that observed events are explained by their inherent risk factors. They are proficient at generalizing important elements to obtain useful forecasts. Although this expertise is beneficial when paired with conventional statistical models, it...
Persistent link: https://www.econbiz.de/10013200677
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Cover Image
Mining actuarial risk predictors in accident descriptions using recurrent neural networks
Baillargeon, Jean-Thomas; Lamontagne, Luc; Marceau, Etienne - In: Risks : open access journal 9 (2021) 1/7, pp. 1-14
One crucial task of actuaries is to structure data so that observed events are explained by their inherent risk factors. They are proficient at generalizing important elements to obtain useful forecasts. Although this expertise is beneficial when paired with conventional statistical models, it...
Persistent link: https://www.econbiz.de/10012422901
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