By studying large language models as if they were living things instead of computer programs, scientists are discovering some ...
Abstract: This paper explores a federated learning approach that automatically selects the number of latent processes in multi-output Gaussian processes (MGPs). The MGP has seen great success as a ...
Abstract: This paper tackles the consensus tracking control challenge for a category of uncertain nonlinear multi-agent systems subject to unknown time-varying disturbances and output constraints.
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