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Apr, 2024
通过梯度下降学习随机人口模型
Towards Learning Stochastic Population Models by Gradient Descent
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Justin N. Kreikemeyer, Philipp Andelfinger, Adelinde M. Uhrmacher
TL;DR
从数据中学习机制模型的方法的发展是一个持续的努力，本文通过探索基于模拟的优化方法，讨论了参数估计与结构推断的挑战。
Abstract
Increasing effort is put into the development of methods for learning
mechanistic models
from data. This task entails not only the accurate estimation of parameters, but also a suitable model structure. Recent work on the discovery of
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