Marina Suvorova

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Probabilistic topic modeling of text collections is a powerful tool for statistical text analysis based on the preferential use of graphical models and Bayesian learning. Additive regularization for topic modeling (ARTM) is a recent semiprobabilistic approach, which provides a simpler inference for many models previously studied only in the Bayesian(More)
A comparative analysis of the cases of ventilator-associated pneumonia (VAP) among premature infants in intensive care units and premature infant nurseries in 1994 (group I) and 1999 (group II) is presented. It was shown that the number of the cases of ventilator-associated pneumonia in the premature infants of group. I was 2,4 times higher than that in the(More)
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