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» Inference Algorithms for Similarity Networks
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CSCW
2010
ACM
15 years 6 months ago
Same places, same things, same people?: mining user similarity on social media
In this work we examine nine different sources for user similarity as reflected by activity in social media applications. We suggest a classification of these sources into three c...
Ido Guy, Michal Jacovi, Adam Perer, Inbal Ronen, E...
SODA
2003
ACM
142views Algorithms» more  SODA 2003»
14 years 11 months ago
The similarity metric
—A new class of distances appropriate for measuring similarity relations between sequences, say one type of similarity per distance, is studied. We propose a new “normalized in...
Ming Li, Xin Chen, Xin Li, Bin Ma, Paul M. B. Vit&...
JMLR
2010
163views more  JMLR 2010»
14 years 4 months ago
Dense Message Passing for Sparse Principal Component Analysis
We describe a novel inference algorithm for sparse Bayesian PCA with a zero-norm prior on the model parameters. Bayesian inference is very challenging in probabilistic models of t...
Kevin Sharp, Magnus Rattray
JSAC
2006
105views more  JSAC 2006»
14 years 9 months ago
Network Topology Inference Based on End-to-End Measurements
Abstract--We consider using traceroute-like end-to-end measurement to infer the underlay topology for a group of hosts. One major issue is the measurement cost. Given hosts in an a...
Xing Jin, Wai-Pun Ken Yiu, S.-H. Gary Chan, Yajun ...
AAAI
2010
14 years 11 months ago
Efficient Lifting for Online Probabilistic Inference
Lifting can greatly reduce the cost of inference on firstorder probabilistic graphical models, but constructing the lifted network can itself be quite costly. In online applicatio...
Aniruddh Nath, Pedro Domingos