A network model that combines latent factors and sparse graphs-Reference-Cited by-同舟云学术

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A network model that combines latent factors and sparse graphs

Published:2020-12-23 Issue:2 Volume:14 Page:97-115
ISSN:1932-1864
Container-title:Statistical Analysis and Data Mining: The ASA Data Science Journal
language:en
Short-container-title:Stat Anal Data Min: The ASA Data Sci Journal

Author:

Suh Namjoon¹,Huo Xiaoming¹^ORCID,Heim Eric²,Seversky Lee³

Affiliation:

1. Industrial and Systems Engineering Georgia Institute of Technology Atlanta Georgia USA

2. Software Engineering Institute Carnegie Mellon University Pittsburgh Pennsylvania USA

3. Information System Division (AFRL/RIS) The Air Force Research Laboratory Rome NewYork USA

Funder

National Science Foundation

Publisher

Wiley

Subject

Computer Science Applications,Information Systems,Analysis

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/sam.11492

Reference49 articles.

1. The political blogosphere and the 2004 U.S. election

2. Noisy matrix decomposition via convex relaxation: Optimal rates in high dimensions

3. Consistency of trace norm minimization;Bach F. R.;J. Mach. Learn. Res.,2008

4. A nonparametric view of network models and Newman–Girvan and other modularities

5. Distributed optimization and statistical learning via the alternating direction method of multipliers;Boyd S.;Mach. Learn.,2011

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