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This paper studies the second-order asymptotics of the discrete memoryless multiple-access channel with degraded message sets. For a fixed average error probability ε ϵ (0, 1) and an arbitrary point on the boundary of the capacity region, we characterize the speed of convergence of rate pairs that converge to that point for codes that have asymptotic error probability no larger than ε, thus complementing...
We propose a novel framework of using a parsimonious statistical model, known as mixture of Gaussian trees, for modeling the possibly multimodal minority class to solve the problem of imbalanced time-series classification. By exploiting the fact that close-by time points are highly correlated due to smoothness of the time-series, our model significantly reduces the number of covariance parameters...
We propose a novel framework of using a parsimonious statistical model, known as mixture of Gaussian trees, for modelling the possibly multi-modal minority class to solve the problem of imbalanced time-series binary classification. By exploiting the fact that close-by time points are highly correlated, our model significantly reduces the number of covariance parameters to be estimated from O(d2) to...
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