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Timeliness Through Telephones: Approximating Information Freshness in Vector Clock Models.

, , , , and . SODA, page 2411-2428. SIAM, (2023)

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Electricity Consumption Forecasting using Support Vector Regression with the Mixture Maximum Correntropy Criterion., , , , , and . Entropy, 21 (7): 707 (2019)Evidential Correlated Gaussian Mixture Markov Model for Pixel Labeling Problem., , , and . BELIEF, volume 9861 of Lecture Notes in Computer Science, page 203-211. Springer, (2016)Towards more efficient ophthalmic disease classification and lesion location via convolution transformer., , , , , , , , and . Comput. Methods Programs Biomed., (2022)Discriminative Random Fields Based on Maximum Entropy Principle for Semisupervised SAR Image Change Detection., , , , , and . IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 9 (8): 3395-3404 (2016)Timeliness Through Telephones: Approximating Information Freshness in Vector Clock Models., , , , and . SODA, page 2411-2428. SIAM, (2023)Research on Demand Analysis Model of Hot Product in Food Industry., and . QRS Companion, page 595-602. IEEE, (2020)Fault detection filtering of nonhomogeneous Markov switching memristive neural networks with output quantization., , , , and . Inf. Sci., (2023)Neuro-Symbolic Learning: Principles and Applications in Ophthalmology., , , , , , , , , and 17 other author(s). CoRR, (2022)Multidimensional Hypergraph on Delineated Retinal Features for Pathological Myopia Task., , , , , , , , , and 1 other author(s). MICCAI (2), volume 13432 of Lecture Notes in Computer Science, page 550-559. Springer, (2022)Unsupervised segmentation of hidden Markov fields corrupted by correlated non-Gaussian noise., , , and . Int. J. Approx. Reason., (2018)