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Fault Identification Via Nonparametric Belief Propagation.

, , , , and . IEEE Trans. Signal Process., 59 (6): 2602-2613 (2011)

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A Weighted Mini-Bucket Bound for Solving Influence Diagram., , , and . UAI, volume 115 of Proceedings of Machine Learning Research, page 1159-1168. AUAI Press, (2019)Interleave Variational Optimization with Monte Carlo Sampling: A Tale of Two Approximate Inference Paradigms., , and . AAAI, page 7900-7907. AAAI Press, (2019)Empirical Study of MC-Dropout in Various Astronomical Observing Conditions., , and . CVPR Workshops, page 17-20. Computer Vision Foundation / IEEE, (2019)Particle-based Variational Inference for Continuous Systems., , and . NIPS, page 826-834. Curran Associates, Inc., (2009)Efficient Bayesian Inference for Dynamically Changing Graphs., , , and . NIPS, page 1441-1448. Curran Associates, Inc., (2007)Probabilistic Variational Bounds for Graphical Models., , and . NIPS, page 1432-1440. (2015)Distributed Estimation, Information Loss and Exponential Families., and . NIPS, page 1098-1106. (2014)ContextNet: Deep learning for Star Galaxy Classification., , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2587-2595. PMLR, (2018)Estimating the Partition Function by Discriminance Sampling., , , and . UAI, page 514-522. AUAI Press, (2015)Deep neural networks for precipitation estimation from remotely sensed information., , , , and . CEC, page 1349-1355. IEEE, (2016)