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» On Structural Analysis of Large Networks
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SIGMOD
2008
ACM
157views Database» more  SIGMOD 2008»
16 years 4 months ago
CRD: fast co-clustering on large datasets utilizing sampling-based matrix decomposition
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
Feng Pan, Xiang Zhang, Wei Wang 0010
JMLR
2010
143views more  JMLR 2010»
14 years 11 months ago
Incremental Sigmoid Belief Networks for Grammar Learning
We propose a class of Bayesian networks appropriate for structured prediction problems where the Bayesian network's model structure is a function of the predicted output stru...
James Henderson, Ivan Titov
ICSE
2007
IEEE-ACM
15 years 10 months ago
Workshop on Software Technologies for Ultra-Large Scale Systems
Given the inevitable trends towards increasing complexity of software-intensive systems, many future software-intensive systems will be ultra-large scale (ULS). Radical scale-up o...
Richard P. Gabriel, Rick Kazman, Linda M. Northrop...
JSAC
2006
115views more  JSAC 2006»
15 years 4 months ago
Deployment of an Algorithm for Large-Scale Topology Discovery
Abstract-- Topology discovery systems are starting to be introduced in the form of easily and widely deployed software. Unfortunately, the research community has not examined the p...
Benoit Donnet, Philippe Raoult, Timur Friedman, Ma...
ADHOCNETS
2009
Springer
15 years 11 months ago
Optimal Cluster Sizes for Wireless Sensor Networks: An Experimental Analysis
Node clustering and data aggregation are popular techniques to reduce energy consumption in large WSNs and a large body of literature has emerged describing various clustering prot...
Anna Förster, Alexander Förster, Amy L. ...