搜索结果: 1-8 共查到“Hierarchical Bayesian”相关记录8条 . 查询时间(0.046 秒)
An Infinite Hierarchical Bayesian Model of Phrasal Translation
An Infinite Hierarchical Bayesian Model Phrasal Translation
2014/3/20
Modern phrase-based machine translation systems make extensive use of wordbased translation models for inducing alignments from parallel corpora. This is problematic, as the systems are incapable of a...
Conjugate distributions in hierarchical Bayesian ANOVA for computational efficiency and assessments of both practical and statistical significance
ANOVA xed eects random eects variance components hierar-chical Bayes multilevel model constraints
2013/4/27
Assessing variability according to distinct factors in data is a fundamental technique of statistics. The method commonly regarded to as analysis of variance (ANOVA) is, however, typically confined to...
A Hierarchical Bayesian Approach for Aerosol Retrieval Using MISR Data
Bayesian Approach MISR Data Retrieval
2011/7/19
Atmospheric aerosols can cause serious damage to human health and life expectancy. Using the radiances observed by NASA's Multi-angle Imaging SpectroRadiometer (MISR), the current MISR operational alg...
Reply to Comment on "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach" by Kolovos (2009)
Reply Comment "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach"
2010/9/13
As correctly pointed out by A. Kolovos, in our paper (Hussain et al., 2010) we applied BME kriging and compared it to hierarchical Bayesian interpolation (HBI) in the context of
spatiotemporal predic...
Comment on "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach" by Hussain et al. (2010)
Comment "Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach"
2010/9/13
This is a clarifying comment regarding the article “Hierarchical Bayesian space-time interpolation versus spatiotemporal BME approach” (Hussain et al., 2010). In the article,
the authors present a ve...
Hierarchical Bayesian space-time interpolation versus spatio-temporal BME approach
Hierarchical Bayesian space-time interpolation spatio-temporal BME approach
2010/9/10
The restrictions of the analysis of natural processes which are observed at any point in space or time to a purely spatial or purely temporal domain may cause loss of information and larger prediction...
Multi-task learning is the problem of maxi-mizing the performance of a system across a number of related tasks. When applied to mul-tiple domains for the same task, it is similar to domain adaptation,...
Hierarchical Bayesian Modeling of Hitting Performance in Baseball
Hierarchical Bayesian Modeling Hitting Performance Baseball
2010/3/18
We have developed a sophisticated statistical model for predicting the hitting performance
of Major League baseball players. The Bayesian paradigm provides a principled
method for balancing past per...