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RECOMB
2009
Springer
16 years 5 months ago
Finding Biologically Accurate Clusterings in Hierarchical Tree Decompositions Using the Variation of Information
Abstract. Hierarchical clustering is a popular method for grouping together similar elements based on a distance measure between them. In many cases, annotation information for som...
Saket Navlakha, James Robert White, Niranjan Nagar...
CGF
2010
121views more  CGF 2010»
15 years 5 months ago
GraphDice: A System for Exploring Multivariate Social Networks
Social networks collected by historians or sociologists typically have a large number of actors and edge attributes. Applying social network analysis (SNA) algorithms to these net...
Anastasia Bezerianos, Fanny Chevalier, Pierre Drag...
IFIP
2007
Springer
15 years 11 months ago
Global Supply Chain Control
The operation of global manufacturing network is challenging due to the complexity in product and information flow, diversity in sites, localization and processes and the informati...
Heidi C. Dreyer, Ottar Bakås, Erlend Alfnes,...
IPPS
2009
IEEE
15 years 11 months ago
Unit disk graph and physical interference model: Putting pieces together
Modeling communications in wireless networks is a challenging task since it asks for a simple mathematical object on which efficient algorithms can be designed, but that must also...
Emmanuelle Lebhar, Zvi Lotker
ISNN
2004
Springer
15 years 10 months ago
Sparse Bayesian Learning Based on an Efficient Subset Selection
Based on rank-1 update, Sparse Bayesian Learning Algorithm (SBLA) is proposed. SBLA has the advantages of low complexity and high sparseness, being very suitable for large scale pr...
Liefeng Bo, Ling Wang, Licheng Jiao