Abstract: In the black-box model probing attack, the attacker sends a series of model inference requests to a victim model to map out the classification boundary of the model. This attack is ...
Abstract: Probability density forecast offers the whole distributions of forecasting targets, which brings greater flexibility and practicability than the other probabilistic forecast models such as ...
Predicting how complex stochastic systems respond to small external perturbations is central in physics, climate science, and engineering. We combine the generalized fluctuation–dissipation theorem ...
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aDepartment of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, ON, Canada bDepartment of Medicine, McMaster University, Hamilton, ON, Canada ...
The wisdom of learning from failure is incontrovertible. Yet organizations that do it well are extraordinarily rare. This gap is not due to a lack of commitment to learning. Managers in the vast ...
We use machine learning as a tool to study decision making, focusing specifically on how physicians diagnose heart attack. An algorithmic model of a patient’s probability of heart attack allows us to ...
For localized and oriented vibrationally excited molecules, the qualitative features of the one-body probability density of the nuclei (one-nucleus density) are investigated. Like the familiar and ...
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