Results 211 to 220 of about 606,212 (231)

Layered Random Inference Networks

2009
Random Boolean Networks (RBN) have been used for decades to study the generic properties of genetic regulatory networks. This paper describes Random Inference Networks (RIN) where the aim is to study the generic properties of inference networks used in high-level information fusion. Previous work has discussed RIN with a linear topology, and this paper
openaire   +1 more source

Network inference from short, noisy, low time-resolution, partial measurements: Application to C. elegans neuronal calcium dynamics

Proceedings of the National Academy of Sciences of the United States of America, 2023
Amitava Banerjee, Edward Ott
exaly  

Hybrid Inference Network for Few-Shot SAR Automatic Target Recognition

IEEE Transactions on Geoscience and Remote Sensing, 2021
Xueru Bai, Chen Gong, Feng Zhou
exaly  

Bayesian Inference on Network Traffic Using Link Count Data

Journal of the American Statistical Association, 1998
Claudia Tebaldi, Mike West
exaly   +2 more sources

HiGCIN: Hierarchical Graph-Based Cross Inference Network for Group Activity Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023
Rui Yan, Lingxi Xie, Jinhui Tang
exaly  

Structure inference of networked system with the synergy of deep residual network and fully connected layer network

Neural Networks, 2022
Keke Huang, Wenfeng Deng, Zhaofei Yu
exaly  

Network Inference

2007
Frank Doyle, Douglas Lauffenburger
openaire   +1 more source

Advantages and limitations of current network inference methods

Nature Reviews Microbiology, 2010
Riet De Smet, Kathleen Marchal
exaly  

Network topologies: inference, modeling, and generation

IEEE Communications Surveys and Tutorials, 2008
Hamed Haddadi, Miguel Rio, Gianluca Iannaccone   +2 more
exaly  

Joint Link Prediction and Attribute Inference Using a Social-Attribute Network

ACM Transactions on Intelligent Systems and Technology, 2014
Neil Zhenqiang Gong, Dawn Song
exaly