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ICML
2010
IEEE
15 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
AAMAS
2007
Springer
15 years 6 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
BCB
2010
213views Bioinformatics» more  BCB 2010»
15 years 1 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»
15 years 5 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...
INFOCOM
2010
IEEE
15 years 5 months ago
Sybil Attacks Against Mobile Users: Friends and Foes to the Rescue
—Collaborative applications for co-located mobile users can be severely disrupted by a sybil attack to the point of being unusable. Existing decentralized defences have largely b...
Daniele Quercia, Stephen Hailes