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119
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KDD
2009
ACM
180views Data Mining» more  KDD 2009»
16 years 5 days ago
Using graph-based metrics with empirical risk minimization to speed up active learning on networked data
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
Sofus A. Macskassy
93
Voted
ICML
2010
IEEE
15 years 21 days 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
ATAL
2009
Springer
15 years 6 months ago
Adaptive learning in evolving task allocation networks
In this paper, we study multi-agent economic systems using a recent approach to economic modeling called Agent-based Computational Economics (ACE): the application of the Complex ...
Tomas Klos, Bart Nooteboom
86
Voted
EDM
2010
152views Data Mining» more  EDM 2010»
15 years 1 months ago
Peer Production of Online Learning Resources: A Social Network Analysis
This paper describes methods for collecting user activity data in a peer production educational system, the Instructional Architect (IA), and then takes a social network perspectiv...
Beijie Xu, Mimi Recker
STOC
2007
ACM
140views Algorithms» more  STOC 2007»
15 years 12 months ago
On the submodularity of influence in social networks
We prove and extend a conjecture of Kempe, Kleinberg, and Tardos (KKT) on the spread of influence in social networks. A social network can be represented by a directed graph where...
Elchanan Mossel, Sébastien Roch