Results 181 to 190 of about 2,441,680 (241)
Some of the next articles are maybe not open access.
Learning Analytical Posterior Probability for Human Mesh Recovery
Computer Vision and Pattern Recognition, 2023Despite various probabilistic methods for modeling the uncertainty and ambiguity in human mesh recovery, their overall precision is limited because existing formulations for joint rotations are either not constrained to SO(3) or difficult to learn for ...
Qi Fang +5 more
semanticscholar +1 more source
Airplane Flight Phase Identification Using Maximum Posterior Probability Method
2022 IEEE 3rd International Conference on System Analysis & Intelligent Computing (SAIC), 2022The flight of a civil airplane is supported by many different systems. However, during the flight pilots require different navigation and surveillance data to perform airplane guidance.
N. Kuzmenko +7 more
semanticscholar +1 more source
Optimistic posterior sampling for reinforcement learning: worst-case regret bounds
Neural Information Processing Systems, 2022We present an algorithm based on posterior sampling (aka Thompson sampling) that achieves near-optimal worst-case regret bounds when the underlying Markov decision process (MDP) is communicating with a finite, although unknown, diameter.
Shipra Agrawal, Randy Jia
semanticscholar +1 more source
Children’s understanding of posterior probability
Cognition, 2008Do young children have a basic intuition of posterior probability? Do they update their decisions and judgments in the light of new evidence? We hypothesized that they can do so extensionally, by considering and counting the various ways in which an event may or may not occur.
GIROTTO, VITTORIO, GONZALEZ M.
openaire +3 more sources
Anisotropic Smoothing of Posterior Probabilities
Proceedings of International Conference on Image Processing, 1999Teo et al. (see IEEE Trans. on Medical Imaging, 1997) proposed an efficient image segmentation technique that anisotropically smoothes the homogeneous posterior probabilities before independent pixel wise MAP classification is carried out. In this paper we develop the mathematical theory underlying the technique.
P.C. Teo, G. Sapiro, B.A. Wandell
openaire +1 more source
Posterior Probability in Clinical Trials
Annals of Internal Medicine, 1984Excerpt To the editor: Ellison and Seney (1) (along with five others who corresponded with us directly) correctly detected an error in our article on clinical trials (2) in panel A of Figure 1.
G A, Diamond, J S, Forrester
openaire +2 more sources
Model discrimination: Posterior probabilities
The Canadian Journal of Chemical Engineering, 1984AbstractExpressions were derived for the computation of regression model posterior probabilities under a number of assumptions regarding the form of the uniform parameter prior probability density function. It was demonstrated that some of these forms may lead to a bias in the model posterior probabilities.
Adrian Dunne, Laurence Lacey
openaire +1 more source
Posterior probability and conditional coverage
Statistics & Probability Letters, 1992zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Swartz, T., Villegas, C.
openaire +2 more sources