Results 11 to 20 of about 539,449 (277)

Bayesian reordering model with feature selection [PDF]

Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014
In phrase-based statistical machine translation systems, variation in grammatical structures between source and target languages can cause large movements of phrases.
Alrajeh, Abdullah, Niranjan, Mahesan
core   +3 more sources

Model selection in cosmology [PDF]

Physical Review D, 2006
Model selection aims to determine which theoretical models are most plausible given some data, without necessarily considering preferred values of model parameters.
Andrew Liddle, David Parkinson, Jeffreys H, Mukherjee P, Pia Mukherjee, Skilling J   +5 more
core   +6 more sources

Location optimization of cold chain logistics parks based on Bayesian probability theory and K-means clustering analysis in China [PDF]

Scientific Reports
The site selection of cold-chain logistics parks is an indispensable part of their planning and construction. This study aims to establish site selection model provide a scientific and sustainable for selecting and determining optimal cold chain ...
Lu Wang, Xuannuo Liu, Xuhui Wang, Yijun Jiang   +3 more
doaj   +2 more sources

Bayesian outcome selection modeling

Stat, 2023
In psychiatric and social epidemiology studies, it is common to measure multiple different outcomes using a comprehensive battery of tests thought to be related to an underlying construct of interest. In the research that motivates our work, researchers wanted to assess the impact of in utero alcohol exposure on child cognition and neuropsychological ...
Khue‐Dung Dang, Louise M. Ryan, Richard J. Cook, Tugba Akkaya Hocagil, Sandra W. Jacobson, Joseph L. Jacobson   +5 more
openaire   +5 more sources

BGWAS: Bayesian variable selection in linear mixed models with nonlocal priors for genome-wide association studies

BMC Bioinformatics, 2023
Background Genome-wide association studies (GWAS) seek to identify single nucleotide polymorphisms (SNPs) that cause observed phenotypes. However, with highly correlated SNPs, correlated observations, and the number of SNPs being two orders of magnitude ...
Jacob Williams, Shuangshuang Xu, Marco A. R. Ferreira   +2 more
doaj   +1 more source

Feature Selection Based on Sparse Bayesian Model [PDF]

Jisuanji gongcheng, 2017
Through using sparse Bayesian inference thought,a Feature Selection Probabilistic Classification Vector Machine (FPCVM) is designed which can learn optimal classifier and automatically select the most relevant feature subset.FPCVM is an extension of ...
ZHU Pu,HUANG Zhangjin
doaj   +1 more source

Bayesian evidence and model selection [PDF]

Digital Signal Processing, 2015
Arxiv version consists of 58 pages and 9 figures.
Knuth, K., Habeck, M., Malakar, N., Mubeen, A., Placek, B.   +4 more
openaire   +4 more sources

Active Knowledge Extraction from Cyclic Voltammetry

Energies, 2022
Cyclic Voltammetry (CV) is an electro-chemical characterization technique used in an initial material screening for desired properties and to extract information about electro-chemical reactions.
Kiran Vaddi, Olga Wodo
doaj   +1 more source

Bayesian parameter inference and model selection by population annealing in systems biology. [PDF]

PLoS ONE, 2014
Parameter inference and model selection are very important for mathematical modeling in systems biology. Bayesian statistics can be used to conduct both parameter inference and model selection.
Yohei Murakami
doaj   +1 more source

Radiometric Scale Transfer Using Bayesian Model Selection

Proceedings, 2020
The key input quantity to climate modelling and weather forecasts is the solar beam irradiance, i.e., the primary amount of energy provided by the sun.
Donald W. Nelson, Udo von Toussaint
doaj   +1 more source