Results 41 to 50 of about 418,262 (313)
Community Detection in Social Networks Considering Social Behaviors
IEEE Access, 2022 The study of community detection in networks has drawn great attention in recent years. To find communities and to understand community semantics, both network topology and network content are utilized. Unfortunately, none of them can explain the driving
Yingkui Wang +4 more
doaj +1 more source
Coupled graphical models and their thresholds [PDF]
2010 IEEE Information Theory Workshop, 2010 The excellent performance of convolutional low-density parity-check codes is the result of the spatial coupling of individual underlying codes across a window of growing size, but much smaller than the length of the individual codes. Remarkably, the belief-propagation threshold of the coupled ensemble is boosted to the maximum-a-posteriori one of the ...
S. Hamed Hassani +2 more
openaire +2 more sources
LDA: a generative graphical model.
, 2014 LDA: a generative graphical model.
Le Luo (277248), Li Li (14993)
core +1 more source
PepGM: A graphical model for taxonomic profiling of viral proteomes
, 2022 In mass spectrometry based proteomics, protein homology leads to many shared peptides within and between species. This complicates taxonomic inference. inference.
Holstein, Tanja
core +3 more sources
Modeling the Game of Go by Ising Hamiltonian, Deep Belief Networks and Common Fate Graphs
IEEE Access, 2019 Three different models of the game of Go are developed by establishing an analogy between this game and physical systems susceptible to analysis under the well-known Ising model in two dimensions. The Ising Hamiltonian is adapted to measure the energy of
Alfonso Rojas-Dominguez +2 more
doaj +1 more source
Bayesian Network Modeling Applied to Feline Calicivirus Infection Among Cats in Switzerland
Frontiers in Veterinary Science, 2020 Bayesian network (BN) modeling is a rich and flexible analytical framework capable of elucidating complex veterinary epidemiological data. It is a graphical modeling technique that enables the visual presentation of multi-dimensional results while ...
Gilles Kratzer +11 more
doaj +1 more source
CoRR, 2016 Many time series are generated by a set of entities that interact with one another over time. This paper introduces a broad, flexible framework to learn from multiple inter-dependent time series generated by such entities. Our framework explicitly models the entities and their interactions through time.
Ashish Bora, Sugato Basu, Joydeep Ghosh
openaire +2 more sources
FEBS Letters, EarlyView.Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi +5 more
wiley +1 more source
Probabilistic graphical model of DMNMF.
, 2015 Probabilistic graphical model of DMNMF.
Bin Ju (126130) +4 more
core +1 more source