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IJAR
2008
119views more  IJAR 2008»
14 years 11 months ago
Adapting Bayes network structures to non-stationary domains
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Søren Holbech Nielsen, Thomas D. Nielsen
WWW
2006
ACM
16 years 12 days ago
Probabilistic models for discovering e-communities
The increasing amount of communication between individuals in e-formats (e.g. email, Instant messaging and the Web) has motivated computational research in social network analysis...
Ding Zhou, Eren Manavoglu, Jia Li, C. Lee Giles, H...
INFOCOM
2009
IEEE
15 years 6 months ago
Passive Loss Inference in Wireless Sensor Networks Based on Network Coding
Abstract—The highly stochastic nature of wireless environments makes it desirable to monitor link loss rates in wireless sensor networks. In this paper, we study the loss inferen...
Yunfeng Lin, Ben Liang, Baochun Li
VLDB
2001
ACM
139views Database» more  VLDB 2001»
15 years 4 months ago
NetCube: A Scalable Tool for Fast Data Mining and Compression
We propose an novel method of computing and storing DataCubes. Our idea is to use Bayesian Networks, which can generate approximate counts for any query combination of attribute v...
Dimitris Margaritis, Christos Faloutsos, Sebastian...
BMCBI
2008
146views more  BMCBI 2008»
14 years 12 months ago
Rank-based edge reconstruction for scale-free genetic regulatory networks
Background: The reconstruction of genetic regulatory networks from microarray gene expression data has been a challenging task in bioinformatics. Various approaches to this proble...
Guanrao Chen, Peter Larsen, Eyad Almasri, Yang Dai