We study two classes of summary-based cardinality estima tors that use statistics about input relations and joins of a small number of input relations: (i) optimistic estimators, which were defined in ...

Abstract: Logistic regression is a fundamental and widely used statistical method for modeling binary outcomes based on covariates. However, the presence of missing data, particularly in settings ...

The U.S. Department of Agriculture (USDA) has revised the amount of Supplemental Nutrition Assistance Program (SNAP) benefits recipients will receive this month as the government issues reduced ...

1 School of Psychology, University of Ottawa, Ottawa, ON, Canada 2 Brain and Mind Research Institute, University of Ottawa, Ottawa, ON, Canada Understanding how functional connectivity between ...

ABSTRACT: This work presents the analyses of earthquake magnitude scales and seismicity parameters across the Nubian-Eurasian Plate Boundary Region. We developed magnitude conversion models using ...

way of simulation that these are actually where the likelihood is maximum (show it on a graph). Possible we can use a slider to also indicate the dependence on sample size. Also we could make some ...

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. Graph neural networks (GNNs) have been shown to be astonishingly capable models for ...

eSpeaks’ Corey Noles talks with Rob Israch, President of Tipalti, about what it means to lead with Global-First Finance and how companies can build scalable, compliant operations in an increasingly ...