Link Prediction in a Weighted Network Using Support Vector Machine
Link prediction is a field under network analysis that deals with the existence or emergence of links. In this study, we investigate the effect of using weighted networks for two link prediction techniques, which are the Vector Auto Regression (VAR) technique and our proposed modified VAR that uses...
Saved in:
Main Authors: | Co, Jan Miles, Fernandez, Proceso L, Jr |
---|---|
Format: | text |
Published: |
Archīum Ateneo
2016
|
Subjects: | |
Online Access: | https://archium.ateneo.edu/discs-faculty-pubs/284 https://archium.ateneo.edu/cgi/viewcontent.cgi?article=1315&context=discs-faculty-pubs |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Ateneo De Manila University |
Similar Items
-
Time-Series Link Prediction Using Support Vector Machines
by: Fernandez, Proceso L, Jr, et al.
Published: (2017) -
Automatic EEG artifact removal: A weighted support vector machine approach with error correction
by: Shao, S.-Y., et al.
Published: (2011) -
Prediction of transporter family from protein sequence by support vector machine approach
by: Lin, H.H., et al.
Published: (2014) -
Bayesian approach to support vector machines
by: CHU WEI
Published: (2010) -
Hidden Logistic Linear Regression for Support Vector Machine based phone verification
by: Li, B., et al.
Published: (2013)