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ICML
2010
IEEE
13 years 7 months ago
Active Learning for Networked Data
We introduce a novel active learning algorithm for classification of network data. In this setting, training instances are connected by a set of links to form a network, the label...
Mustafa Bilgic, Lilyana Mihalkova, Lise Getoor
CCR
2010
133views more  CCR 2010»
13 years 6 months ago
The role of network trace anonymization under attack
In recent years, academic literature has analyzed many attacks on network trace anonymization techniques. These attacks usually correlate external information with anonymized data...
Martin Burkhart, Dominik Schatzmann, Brian Trammel...
CORR
2010
Springer
146views Education» more  CORR 2010»
13 years 6 months ago
Active Learning for Hidden Attributes in Networks
In many networks, vertices have hidden attributes that are correlated with the network's topology. For instance, in social networks, people are more likely to be friends if t...
Xiaoran Yan, Yaojia Zhu, Jean-Baptiste Rouquier, C...
CIKM
2009
Springer
13 years 10 months ago
Efficient processing of group-oriented connection queries in a large graph
We study query processing in large graphs that are fundamental data model underpinning various social networks and Web structures. Given a set of query nodes, we aim to find the g...
James Cheng, Yiping Ke, Wilfred Ng
NIPS
2008
13 years 7 months ago
Non-stationary dynamic Bayesian networks
Abstract: Structure learning of dynamic Bayesian networks provide a principled mechanism for identifying conditional dependencies in time-series data. This learning procedure assum...
Joshua W. Robinson, Alexander J. Hartemink