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Found 2 papers, 1 papers with code
Sample Selection Bias in Machine Learning for Healthcare
Specifically, we propose two independent networks (T-Net) and a multitasking network (MT-Net) for addressing SSB, where one network/task identifies the target subpopulation which is representative of the study population and the second makes predictions for the identified subpopulation.
Expressivity of Hidden Markov Chains vs. Recurrent Neural Networks from a system theoretic viewpoint
The probability distributions produced by these models are characterized by structured covariance series, and as a consequence expressivity reduces to comparing sets of structured covariance series, which enables us to call for stochastic realization theory (SRT).
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