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》 资源 》论文》Learning Continuous Time Bayesian Networks in Non-stationary Domains (Extended Abstract)?

Learning Continuous Time Bayesian Networks in Non-stationary Domains (Extended Abstract)?

2019-11-07 | |  71 |   45 |   0
Abstract Non-stationary continuous time Bayesian networks are introduced. They allow the parents set of each node in a continuous time Bayesian network to change over time. Structural learning of nonstationary continuous time Bayesian networks is developed under different knowledge settings. A macroeconomic dataset is used to assess the effectiveness of learning non-stationary continuous time Bayesian networks from real-world data.

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