Results 41 to 50 of about 2,441,680 (241)
Joint Posterior Probability Active Learning for Hyperspectral Image Classification
Remote Sensing, 2023 Active learning (AL) is an approach that can reduce the dependence on the labeled set significantly. However, most current active-learning methods are only concerned with the first two columns of the posterior probability matrix during the sampling phase.
Shuying Li, Shaowei Wang, Qiang Li
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Machine Translation, 2013 We report an empirical study of n-gram posterior probability confidence measures for statistical machine translation (SMT). We first describe an efficient and practical algorithm for rapidly computing n-gram posterior probabilities from large translation
A. Gispert +3 more
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On posterior probability and significance level: application to the power spectrum of HD 49 933 observed by CoRoT [PDF]
, 2009 Context. The CoRoT mission provides asteroseismic data of very high quality allowing one to adopt new statistical approaches for mode detection in power spectra, especially with respect to testing the null hypothesis (H0, which assumes that what is ...
T. Appourchaux, R. Samadi, M. Dupret
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Bayesian Posterior Predictive Probability Happiness
Applied Mathematics, 2016 We propose to determine the underlying causal structure of the elements of happiness from a set of empirically obtained data based on Bayesian. We consider the proposal to study happiness as a multidimensional construct which converges four dimensions with two different Bayesian techniques, in the first we use the Bonferroni correction to estimate the ...
Gabriela Rodríguez-Hernández +2 more
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Energies, 2018 Most of the current algorithms used to solve the optimal configuration problem in the distributed generation (DG) of electricity depend heavily on control parameters, which may lead to local optimal solutions.
Lei Yang +3 more
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Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, 2021 Background Transesophageal echocardiography (TEE) has been considered the gold standard for left atrial appendage (LAA) thrombus detection. Nevertheless, TEE may sometimes induce discomfort and cause complications.
Shandong Yu, Heping Zhang, Hongwei Li
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Entropy, 2015 We consider the problem of learning a Bayesian network structure given n examples and the prior probability based on maximizing the posterior probability.
Joe Suzuki
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Clinical significance of cerebral collateral circulation assessment based on Balloon Test Occlusion
Chinese Journal of Contemporary Neurology and Neurosurgery, 2022 Objective To analyze compensatory ability of the cerebral collateral circulation and relevant factors affecting cerebral ischemic tolerance for internal carotid artery (ICA) occlusion by Balloon Test Occlusion (BTO), providing reference basis for the ...
SUN Zeng⁃feng +4 more
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A Bayesian Posterior Probability Is the Real Replication Probability [PDF]
Statistics in Biopharmaceutical Research, 2020 Gibson (2020) seeks to tackle a difficult and persistent problem in clinical research and indeed the scientific community as a whole—what is the strength of evidence for a scientific hypothesis bas...
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Bayesian Learning Strategies for Reducing Uncertainty of Decision-Making in Case of Missing Values
Machine Learning and Knowledge ExtractionBackground: Liquidity crises pose significant risks to financial stability, and missing data in predictive models increase the uncertainty in decision-making.
Vitaly Schetinin, Livija Jakaite
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