Learning the probability of activation in the presence of latent spreaders
Thesis: S.M., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2017.
Main Author: | Makar, Maggie, S.M. Massachusetts Institute of Technology |
---|---|
Other Authors: | John Guttag. |
Format: | Thesis |
Language: | eng |
Published: |
Massachusetts Institute of Technology
2017
|
Subjects: | |
Online Access: | http://hdl.handle.net/1721.1/111924 |
Similar Items
-
Learning the probability of activation in the presence of latent spreaders
by: Makar, Maggie, et al.
Published: (2021) -
Unsupervised learning of latent physical properties using perception-prediction networks
by: Zheng, David Y., M. Eng. Massachusetts Institute of Technology
Published: (2018) -
Diversity-inducing probability measures for machine learning
by: Li, Chengtao,Ph. D.Massachusetts Institute of Technology.
Published: (2019) -
Identifying the influential spreaders in multilayer interactions of online social networks
by: Al-Garadi, M.A., et al.
Published: (2016) -
A Bayesian latent time-series model for switching temporal interaction analysis
by: Dzunic, Zoran, Ph. D. Massachusetts Institute of Technology
Published: (2016)