Results 81 to 90 of about 3,605,404 (198)
Experimentally informed decoding of stabilizer codes based on syndrome correlations
High-fidelity decoding of quantum error correction codes relies on an accurate experimental model of the physical errors occurring in the device. Because error probabilities can depend on the context of the applied operations, the error model is ideally ...
Ants Remm +11 more
doaj +1 more source
Aggregation of multiple prior opinions. [PDF]
Experts are asked to provide their advice in a situation of uncertainty. They adopt the decision maker’s utility function, but each has a potentially different set of prior probabilities, and so does the decision maker. The decision maker and the experts
Vieille, Nicolas +2 more
core
The smart potential behind probability matching
Probability matching is a classic choice anomaly that has been studied extensively. While many approaches assume that it is a cognitive shortcut driven by cognitive limitations, recent literature suggests that it is not a strategy per se, but rather ...
Schooler, Lael J. +5 more
core +1 more source
BackgroundPatients receiving chiropractic spinal manipulation (CSM) for spinal pain are less likely to be prescribed opioids, and some evidence suggests that these patients have a lower risk of any type of adverse drug event.
Robert J Trager +4 more
doaj +1 more source
Cara T Lwin,1 Christianne L Roumie,2– 4 Robert Alan Greevy Jr,1,2,5 Cole Beck,1,2 Kathryn Diane Snyder,3 Amber J Hackstadt1,2,5 1Department of Biostatistics, Vanderbilt University School of Medicine, Nashville, TN, USA; 2Geriatric Research Education ...
Lwin CT +5 more
doaj
Confidence-Based Surface Prior for Energy-Minimization Stereo Matching
This paper presents a novel confidence-based surface prior for energy minimization formulations of dense stereo matching. Given a dense disparity estimation we fit planes, in disparity space, to regions of the image.
Pablo d’Angelo +5 more
core +1 more source
Prior probability distributions for chosen parameters.
Prior probability distributions for chosen parameters.
Shawn P. Serbin (2910383) +3 more
core +1 more source
For the problem of tracking complex maneuvering targets, traditional interacting multiple-model algorithms suffer from reduced accuracy and slow convergence due to their reliance on prior information and the limited coverage of candidate models.
Xuhui Zhao +3 more
doaj +1 more source
Computed tomography in initially unstable thoracoabdominal trauma can safely enhance triage
Introduction: Computed tomography (CT) imaging of hemodynamically abnormal trauma patients undergoing aggressive resuscitation is controversial. Our study investigated outcomes for hemodynamically abnormal thoracoabdominal trauma undergoing CT prior to ...
Anna White +7 more
doaj +1 more source
Prior probability distributions for estimated model parameters.
Prior probability distributions for estimated model parameters.
Murdoch K. McAllister (7887023) +2 more
core +1 more source

