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pro vyhledávání: '"Ong, Priscilla"'
Modelling longitudinal data is an important yet challenging task. These datasets can be high-dimensional, contain non-linear effects and time-varying covariates. Gaussian process (GP) prior-based variational autoencoders (VAEs) have emerged as a prom
Externí odkaz:
http://arxiv.org/abs/2409.11008
Autor:
Nambiar, Milashini, Ghosh, Supriyo, Ong, Priscilla, Chan, Yu En, Bee, Yong Mong, Krishnaswamy, Pavitra
There is increasing interest in data-driven approaches for recommending optimal treatment strategies in many chronic disease management and critical care applications. Reinforcement learning methods are well-suited to this sequential decision-making
Externí odkaz:
http://arxiv.org/abs/2302.07549