搜索结果: 1-10 共查到“hierarchical models”相关记录10条 . 查询时间(0.093 秒)
Building large-scale hierarchical models of the world with binary sparse distributed representations. or Building the world model with binary sparse distributed representations
analogy analogical mapping analogical retrieva
font style='font-size:12px;'>
2015/7/30
Many researchers agree on the basic architecture of the "world model" where knowledge about the
world required for organization of agent's intelligent behavior is represented. However, most proposals...
The importance of distinct modeling strategies for gene and gene-specific treatment effects in hierarchical models for microarray data
Diffierential expression EM algorithm hierarchical models random effects uncertainty
font style='font-size:12px;'>
2012/11/23
When analyzing microarray data, hierarchical models are often used to share information across genes when estimating means and variances or identifying differential expression. Many methods utilize so...
Oscillatory critical amplitudes in hierarchical models and the tail of the Harris random variable
hierarchical models iteration of polynomial maps oscillatory critical amplitudes Harris random variable geometry of Julia set
font style='font-size:12px;'>
2012/6/27
Oscillatory critical amplitudes have been repeatedly observed in hierarchical models and, in the cases that have been taken into consideration, these oscillations are so small to be hardly detectable....
Classification Loss Function for Parameter Ensembles in Bayesian Hierarchical Models
Classification Loss Function Parameter Ensembles Bayesian Hierarchical Models
font style='font-size:12px;'>
2011/6/20
Our perspective in this paper follows the framework adopted by Lin et al. (2006), who intro-
duced several loss functions for the identication of the elements of a parameter ensemble that
represent...
Identifying outliers in Bayesian hierarchical models: a simulation-based approach
Hierarchical models diagnostics outliers distributional assumptions
font style='font-size:12px;'>
2009/9/22
A variety of simulation-based techniques have been proposed for detec-
tion of divergent behaviour at each level of a hierarchical model. We investigate a
diagnostic test based on measuring the coni...
Loss Function Based Ranking in Two-Stage, Hierarchical Models
percentiling Bayesian models decision theory operating characteristic
font style='font-size:12px;'>
2009/9/21
Performance evaluations of health services providers burgeons. Simi-
larly, analyzing spatially related health information, ranking teachers and schools,
and identification of differentially express...
The Relationship Between the Power Prior and Hierarchical Models
Generalized linear model hierarchical model historical data power prior prior elicitation random eects model
font style='font-size:12px;'>
2009/9/21
The power prior has emerged as a useful informative prior for the incorpora-
tion of historical data in a Bayesian analysis. Viewing hierarchical modeling as
the gol standard for combining informati...
Prior distributions for variance parameters in hierarchical models(Comment on Article by Browne and Draper)
Bayesian inference conditional conjugacy folded-noncentral-t distribution hierarchical model multilevel mode weakly informative prior distribution
font style='font-size:12px;'>
2009/9/21
Various noninformative prior distributions have been suggested for
scale parameters in hierarchical models. We construct a new folded-noncentral-t
family of conditionally conjugate priors for hierar...
Robust estimation and forecasting for beta-mixed hierarchical models of grouped binary data
grouped binary data distortions hierarchical models beta-binomial beta-logistic robust estimation forecasting
font style='font-size:12px;'>
2009/2/23
The paper focuses on robust estimation and forecasting techniques for grouped binary data with
misclassified responses. It is assumed that the data are described by the beta-mixed hierarchical model ...
Higher-order models versus direct hierarchical models:g as superordinate or breadth factor?
confirmatory factor analysis higher-order models hierarchical models general intelligence
font style='font-size:12px;'>
2009/12/21
Intelligence research appears to have overwhelmingly endorsed a superordinate (higher-order model) conceptualization of g, in comparison to the relatively less well-known breadth conceptualization of ...