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Context-specific independence in graphical log-linear models
Computational statistics (Zeitschrift), 2014Log-linear models are the popular workhorses of analyzing contingency tables. A log-linear parameterization of an interaction model can be more expressive than a direct parameterization based on probabilities, leading to a powerful way of defining ...
Henrik J. Nyman +3 more
semanticscholar +1 more source
arXiv.org
The attention mechanism in Transformers is an important primitive for accurate and scalable sequence modeling. Its quadratic-compute and linear-memory complexity however remain significant bottlenecks.
Han Guo +5 more
semanticscholar +1 more source
The attention mechanism in Transformers is an important primitive for accurate and scalable sequence modeling. Its quadratic-compute and linear-memory complexity however remain significant bottlenecks.
Han Guo +5 more
semanticscholar +1 more source
Categorical Data Analysis for the Behavioral and Social Sciences, 2021
R. Azen, C. Walker
semanticscholar +1 more source
R. Azen, C. Walker
semanticscholar +1 more source
Log-linear models to evaluate direction of effect in binary variables
, 2020W. Wiedermann, A. Eye
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Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables
, 2009R. Henson, J. Templin, John T. Willse
semanticscholar +1 more source