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» Algorithms for Large, Sparse Network Alignment Problems
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SDM
2009
SIAM
208views Data Mining» more  SDM 2009»
15 years 11 months ago
A Bayesian Approach Toward Finding Communities and Their Evolutions in Dynamic Social Networks.
Although a large body of work are devoted to finding communities in static social networks, only a few studies examined the dynamics of communities in evolving social networks. I...
Tianbao Yang, Yun Chi, Shenghuo Zhu, Yihong Gong, ...
CVPR
2005
IEEE
16 years 4 months ago
Joint Nonparametric Alignment for Analyzing Spatial Gene Expression Patterns in Drosophila Imaginal Discs
To compare spatial patterns of gene expression, one must analyze a large number of images as current methods are only able to measure a small number of genes at a time. Bringing i...
Parvez Ahammad, Cyrus L. Harmon, Ann Hammonds, Sha...
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JMLR
2006
156views more  JMLR 2006»
15 years 2 months ago
Large Scale Multiple Kernel Learning
While classical kernel-based learning algorithms are based on a single kernel, in practice it is often desirable to use multiple kernels. Lanckriet et al. (2004) considered conic ...
Sören Sonnenburg, Gunnar Rätsch, Christi...
CEC
2010
IEEE
15 years 2 months ago
A penalty-based genetic algorithm for the composite SaaS placement problem in the Cloud
— Cloud computing is a latest new computing paradigm where applications, data and IT services are provided over the Internet. Cloud computing has become a main medium for Softwar...
Zeratul Izzah Mohd Yusoh, Maolin Tang
TKDE
2012
250views Formal Methods» more  TKDE 2012»
13 years 4 months ago
Dense Subgraph Extraction with Application to Community Detection
— This paper presents a method for identifying a set of dense subgraphs of a given sparse graph. Within the main applications of this “dense subgraph problem”, the dense subg...
Jie Chen 0007, Yousef Saad