Variational Bayesian Inference for Linear State Space Models with Multivariate Laplace Distributions
Abstract: This paper presents a robust variational Bayesian (VB) method for identifying linear state space models (LSSM) with non-Gaussian observational noise. Appropriate prior information is ...
Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...
Objectives To explore the levels of health-related functioning during pregnancy and postpartum and its association with non-severe maternal morbidities. Design An observational longitudinal study.
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