预测
发表于 2025-3-28 15:36:32
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echnic
发表于 2025-3-28 20:20:01
Convolutional Neural Networks,deling, e.g., applied to image recognition problems. Time-series and images have a natural topology, and CN networks try to benefit from this additional structure (over tabular data). We introduce these network architectures and provide insurance-relevant examples related to telematics data and mort
CHASE
发表于 2025-3-29 02:01:47
Natural Language Processing, words can be embedded into low-dimension spaces that serve as numerical word encodings. These can then be used for text recognition, either using RN networks or attention layers. We give an example where we aim at predicting claim perils from claim descriptions.
hermitage
发表于 2025-3-29 05:30:45
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渗入
发表于 2025-3-29 08:57:56
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Osteons
发表于 2025-3-29 14:48:26
Predictive Modeling and Forecast Evaluation,odels. This chapter is complemented by a more decision-theoretic approach to forecast evaluation, it discusses deviance losses, proper scoring, elicitability, forecast dominance, cross-validation, Akaike’s information criterion (AIC) and we give an introduction to the bootstrap simulation method.
卡死偷电
发表于 2025-3-29 17:10:38
Deep Learning,e model uncertainty. This chapter is complemented by many examples on non-life insurance pricing, but also on mortality modeling, as well as tools that help to explain deep FN network regression results.
Integrate
发表于 2025-3-29 21:27:17
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铁砧
发表于 2025-3-30 03:52:52
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拉开这车床
发表于 2025-3-30 07:52:09
Statistical Foundations of Actuarial Learning and its Applications978-3-031-12409-9Series ISSN 2523-3262 Series E-ISSN 2523-3270