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Griffiths phases in infinite- dimensional, non- hierarchical modular networks
(Scientific Reports, 2019)
Evaluating hierarchical machine learning approaches to classify biological databases.
(Stewart Publications, 2022)
Joint species movement modeling: how do traits influence movements?
(2019-04-01)
Joint species distribution modeling has enabled researchers to move from species-level to community-level analyses, leading to statistically more efficient and ecologically more informative use of data. Here, we propose ...
A method for combining inference across related nonparametric Bayesian models
(WILEY, 2004)
We consider the problem of combining inference in related nonparametric Bayes models. Analogous to parametric hierarchical models, the hierarchical extension formalizes borrowing strength across the related submodels. In ...
A HIERARCHICAL DECOMPOSITION OF DECISION PROCESS PETRI NETS FOR MODELING COMPLEX SYSTEMS
(International Journal of applied mathematics and computer science, Vol. 20, No. 2, 2010)
We provide a framework for hierarchical specification called Hierarchical Decision Process Petri Nets (HDPPNs). It is an extension of Decision Process Petri Nets (DPPNs) including a hierarchical decomposition process that ...