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ICML
2010
IEEE
13 years 11 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
AAMAS
2007
Springer
13 years 10 months ago
Local strategy learning in networked multi-agent team formation
Abstract. Networked multi-agent systems are comprised of many autonomous yet interdependent agents situated in a virtual social network. Two examples of such systems are supply cha...
Blazej Bulka, Matthew E. Gaston, Marie desJardins
WINE
2010
Springer
201views Economy» more  WINE 2010»
13 years 8 months ago
Efficient Computation of the Shapley Value for Centrality in Networks
The Shapley Value is arguably the most important normative solution concept in coalitional games. One of its applications is in the domain of networks, where the Shapley Value is u...
Karthik V. Aadithya, Balaraman Ravindran, Tomasz P...
BCB
2010
213views Bioinformatics» more  BCB 2010»
13 years 5 months ago
Markov clustering of protein interaction networks with improved balance and scalability
Markov Clustering (MCL) is a popular algorithm for clustering networks in bioinformatics such as protein-protein interaction networks and protein similarity networks. An important...
Venu Satuluri, Srinivasan Parthasarathy, Duygu Uca...
INCDM
2010
Springer
172views Data Mining» more  INCDM 2010»
13 years 8 months ago
Evaluating the Quality of Clustering Algorithms Using Cluster Path Lengths
Many real world systems can be modeled as networks or graphs. Clustering algorithms that help us to organize and understand these networks are usually referred to as, graph based c...
Faraz Zaidi, Daniel Archambault, Guy Melanç...