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GECCO
2007
Springer
168views Optimization» more  GECCO 2007»
14 years 1 months ago
Stability in the self-organized evolution of networks
The modeling and analysis of large networks of autonomous agents is an important topic with applications in many different disciplines. One way of modeling the development of such...
Thomas Jansen, Madeleine Theile
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
14 years 8 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...
COMPLEX
2009
Springer
13 years 11 months ago
Using the Weighted Rich-Club Coefficient to Explore Traffic Organization in Mobility Networks
Abstract. The aim of a transportation system is to enable the movement of goods or persons between any two locations with the highest possible efficiency. This simple principle ins...
Jose J. Ramasco, Vittoria Colizza, Pietro Panzaras...
CORR
2010
Springer
114views Education» more  CORR 2010»
13 years 6 months ago
Efficiently Discovering Hammock Paths from Induced Similarity Networks
ty networks are important abstractions in many information management applications such as recommender systems, corpora analysis, and medical informatics. For instance, in a recom...
M. Shahriar Hossain, Michael Narayan, Naren Ramakr...
NIPS
2003
13 years 9 months ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller