Defining adaptation in a generic multi layer model : CAM: the GRAPPLE conceptual adaptation model [PDF]
, 2008 Authoring of Adaptive Hypermedia is a difficult and time consuming task. Reference models like LAOS and AHAM separate adaptation and content in different layers. Systems like AHA!
Bra, Paul M. E. de +4 more
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Stratified Gaussian graphical models [PDF]
Communications in Statistics - Theory and Methods, 2016 23 pages, 12 ...
Nyman, Henrik +2 more
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Neural Connectivity with Hidden Gaussian Graphical State-Model
, 2019 The noninvasive procedures for neural connectivity are under questioning. Theoretical models sustain that the electromagnetic field registered at external sensors is elicited by currents at neural space.
Areces-Gonzalez, Ariosky +5 more
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Graphical Markov Models: Overview [PDF]
, 2015 We describe how graphical Markov models started to emerge in the last 40 years, based on three essential concepts that had been developed independently more than a century ago. Sequences of joint or single regressions and their regression graphs are singled out as being best suited for analyzing longitudinal data and for tracing developmental pathways.
Wermuth, Nanny, Cox, D. R.
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Multibody dynamics model building using graphical interfaces [PDF]
In recent years, the extremely laborious task of manually deriving equations of motion for the simulation of multibody spacecraft dynamics has largely been eliminated.
Macala, Glenn A.
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gmcoda: Graphical model for multiple compositional vectors in microbiome studies. [PDF]
Bioinformatics, 2023 Fang H.
europepmc +1 more source
Continuously indexed graphical models
Journal of the Royal Statistical Society Series B: Statistical MethodologyAbstract Let X={Xu}u∈U be a real-valued Gaussian process indexed by a set U. We show that X can be viewed as a graphical model with an uncountably infinite graph, where each Xu is a vertex. This graph is characterized by the reproducing property of X’s covariance kernel, without restricting U to be finite or countable, allowing the ...
Waghmare, Kartik G. +1 more
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SpiderLearner: An ensemble approach to Gaussian graphical model estimation. [PDF]
Stat Med, 2023 Shutta KH +3 more
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THE SCALABLE BIRTH-DEATH MCMC ALGORITHM FOR MIXED GRAPHICAL MODEL LEARNING WITH APPLICATION TO GENOMIC DATA INTEGRATION. [PDF]
Ann Appl Stat, 2023 Wang N, Massam H, Gao X, Briollais L.
europepmc +1 more source
Effective diagnosis of sepsis in critically ill children using probabilistic graphical model. [PDF]
Transl Pediatr, 2023 Nguyen TM, Poh KL, Chong SL, Lee JH.
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