Results 91 to 100 of about 2,441,680 (241)

The parieto-occipital cortex is a candidate neural substrate for the human ability to approximate Bayesian inference

Communications Biology
Adaptive decision-making often requires one to infer unobservable states based on incomplete information. Bayesian logic prescribes that individuals should do so by estimating the posterior probability by integrating the prior probability with new ...
Nicholas M. Singletary, Jacqueline Gottlieb, Guillermo Horga   +2 more
doaj   +1 more source

IMAGE SEGMENTATION USING GAUSSIAN MIXTURE MODEL

International Journal of Industrial Engineering and Production Research, 2008
Stochastic models such as mixture models, graphical models, Markov random fields and hidden Markov models have key role in probabilistic data analysis. In this paper, we have learned Gaussian mixture model to the pixels of an image. The parameters of the
Rahman Farnoosh, Behnam Zarpak
doaj   +2 more sources

Low-Rank Representation of Nearest Neighbor Phone Posterior Probabilities to Enhance DNN Acoustic Modeling [PDF]

, 2016
Gil Luyet, Pranay Dighe, Afsaneh Asaei, Hervé Bourlard   +3 more
openalex   +1 more source

Comparative Probability Metrics: Using Posterior Probabilities to Account for Practical Equivalence in A/B tests

, 2021
Nathaniel T. Stevens, Luke Hagar
openalex   +1 more source

Image representation for generic object recognition using higher-order local autocorrelation features on posterior probability images

, 2011
Tetsu Matsukawa, Takio Kurita
openalex   +2 more sources

Fusion of Change Vector Analysis in Posterior Probability Space and Postclassification Comparison for Change Detection from Multispectral Remote Sensing Data [PDF]

, 2019
Fatemeh Zakeri, Bo Huang, Mohammad Reza Saradjian   +2 more
openalex   +1 more source

Posterior Probabilities for Lorenz and Stochastic Dominance of\n Australian Income Distributions [PDF]

, 2020
David Gunawan, William E. Griffiths, Duangkamon Chotikapanich   +2 more
openalex   +1 more source

A software tool for applying Bayes' theorem in medical diagnostics

BMC Medical Informatics and Decision Making
Background In medical diagnostics, estimating post-test or posterior probabilities for disease, positive and negative predictive values, and their associated uncertainty is essential for patient care.
Theodora Chatzimichail, Aristides T. Hatjimihail   +1 more
doaj   +1 more source

A Rejection Sampling Scheme For Posterior Probability Distributions Via The Ratio-Of-Uniforms Method

, 2010
Luca Martino, Joaquı́n Mı́guez
openalex   +1 more source

Estimating statistical power, posterior probability and publication bias of psychological research using the observed replication rate. [PDF]

R Soc Open Sci, 2018
Ingre M, Nilsonne G.
europepmc   +1 more source