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Regularized Sparse Gaussian Processes
An issue faced by SGP, especially in latent variable models, is the inefficient learning of the inducing inputs, which leads to poor model prediction.
Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling
In this paper, we propose a piece-wise stationary transition matrix to explain the heterogeneity in time.
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