Empirical Co-occurrence Rate Networks for Sequence Labeling [PDF]
2013 12th International Conference on Machine Learning and Applications, 2013 Structured prediction has wide applications in many areas. Powerful and popular models for structured prediction have been developed. Despite the successes, they suffer from some known problems: (i) Hidden Markov models are generative models which suffer from the mismatch problem.
Zhemin Zhu +3 more
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Cropping with Vicia villosa and native grass improves soil’s bacterial structure and ecological network in a jujube orchard [PDF]
PeerJIn a jujube orchard, cropping withgrass may influence bacterial diversity and ecological networks due to changes of physicochemical properties in soil, which has a serious effect on the stability of soil ecosystems.
Shoule Wang +6 more
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Habitats Within the Plant Root Differ in Bacterial Network Topology and Taxonomic Assortativity
Molecular Plant-Microbe Interactions, 2023 The root microbiome is composed of distinct epiphytic (rhizosphere) and endophytic (endosphere) habitats. Differences in abiotic and biotic factors drive differences in microbial community diversity and composition between these habitats, though how they
Connor R. Fitzpatrick +5 more
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Formal Models of the Network Co-occurrence Underlying Mental Operations. [PDF]
PLoS Computational Biology, 2016 Systems neuroscience has identified a set of canonical large-scale networks in humans. These have predominantly been characterized by resting-state analyses of the task-unconstrained, mind-wandering brain.
Danilo Bzdok +5 more
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The co-occurrence network of the most common words.
, 2023 The co-occurrence network of the most common words.
Linwei Yang (11799986)
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Social Network of Co-occurrence in News Articles [PDF]
, 2004 Networks describe various complex natural systems including social systems. Recent studies have shown that these networks share some common properties. While studying complex systems, data collection phase is difficult for social networks compared to other networks such as the WWW, Internet, protein or linguistic networks.
Arzucan Özgür, Haluk Bingöl
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Identification and Analysis of Co-Occurrence Networks with NetCutter
PLoS ONE, 2008 Co-occurrence analysis is a technique often applied in text mining, comparative genomics, and promoter analysis. The methodologies and statistical models used to evaluate the significance of association between co-occurring entities are quite diverse, however.We present a general framework for co-occurrence analysis based on a bipartite graph ...
Heiko Müller, Francesco Mancuso
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Functional shortcuts in language co-occurrence networks
PLOS ONE, 2018 Human language contains regular syntactic structures and grammatical patterns that should be detectable in their co-occurence networks. However, most standard complex network measures can hardly differentiate between co-occurence networks built from an empirical corpus and a body of scrambled text.
Woon Peng Goh +2 more
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Exploring frailty and its domains – Systematic mapping of the literature
Indian Journal of Public Health, 2023 Background: 'Frailty' has no consensual definition till date, although the term occupies a pivotal role in geriatric medicine. A bibliometric analysis of the literature serves to capture the keyword cooccurrences and linkages, co-citations, author ...
T B Pritish Baskaran +4 more
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(A) Keyword co-occurrence network and (B) Timeline visualization of co-occurring keywords networks.
, 2023 (A) Keyword co-occurrence network and (B) Timeline visualization of co-occurring keywords networks.
Caiyun Chen (1568353), Wei Liu (20030)
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