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ICDM
2008
IEEE
150views Data Mining» more  ICDM 2008»
14 years 3 months ago
Pseudolikelihood EM for Within-network Relational Learning
In this work, we study the problem of within-network relational learning and inference, where models are learned on a partially labeled relational dataset and then are applied to ...
Rongjing Xiang, Jennifer Neville
EUROSYS
2010
ACM
14 years 22 days ago
Fingerprinting the Datacenter: Automated Classification of Performance Crises
When a performance crisis occurs in a datacenter, rapid recovery requires quickly recognizing whether a similar incident occurred before, in which case a known remedy may apply, o...
Peter Bodik, Moises Goldszmidt, Armando Fox, Dawn ...
BMCBI
2007
137views more  BMCBI 2007»
13 years 8 months ago
Bayesian refinement of protein functional site matching
Background: Matching functional sites is a key problem for the understanding of protein function and evolution. The commonly used graph theoretic approach, and other related appro...
Kanti V. Mardia, Vysaul B. Nyirongo, Peter J. Gree...
VIS
2009
IEEE
399views Visualization» more  VIS 2009»
14 years 9 months ago
Visual Human+Machine Learning
In this paper we describe a novel method to integrate interactive visual analysis and machine learning to support the insight generation of the user. The suggested approach combine...
Raphael Fuchs, Jürgen Waser, Meister Eduard GrÃ...
SIGMOD
2006
ACM
171views Database» more  SIGMOD 2006»
14 years 8 months ago
Communication-efficient distributed monitoring of thresholded counts
Monitoring is an issue of primary concern in current and next generation networked systems. For example, the objective of sensor networks is to monitor their surroundings for a va...
Ram Keralapura, Graham Cormode, Jeyashankher Ramam...