Cargando…
A Low Dimensional Approach on Network Characterization
In many applications, one may need to characterize a given network among a large set of base networks, and these networks are large in size and diverse in structure over the search space. In addition, the characterization algorithms are required to have low volatility and with a small circle of unce...
Autores principales: | Li, Benjamin Y. S., Zhan, Choujun, Yeung, Lam F., Ko, King T., Yang, Genke |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4199607/ https://www.ncbi.nlm.nih.gov/pubmed/25329146 http://dx.doi.org/10.1371/journal.pone.0109383 |
Ejemplares similares
-
Parameter estimation in systems biology models using spline approximation
por: Zhan, Choujun, et al.
Publicado: (2011) -
Distributed Diagnoses Based on Constructing a Private Chain via a Public Network
por: Li, Bing, et al.
Publicado: (2023) -
An Improved Normalized Mutual Information Variable Selection Algorithm for Neural Network-Based Soft Sensors
por: Sun, Kai, et al.
Publicado: (2019) -
The nature and nurture of network evolution
por: Zhou, Bin, et al.
Publicado: (2023) -
Human migration-based graph convolutional network for PM2.5 forecasting in post-COVID-19 pandemic age
por: Zhan, Choujun, et al.
Publicado: (2022)