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» Learning Bayesian Networks from Incomplete Databases
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NECO
2011
13 years 6 months ago
Least Squares Estimation Without Priors or Supervision
Selection of an optimal estimator typically relies on either supervised training samples (pairs of measurements and their associated true values), or a prior probability model for...
Martin Raphan, Eero P. Simoncelli
CCR
2006
76views more  CCR 2006»
13 years 11 months ago
Secure distributed data-mining and its application to large-scale network measurements
The rapid growth of the Internet over the last decade has been startling. However, efforts to track its growth have often fallen afoul of bad data -- for instance, how much traffi...
Matthew Roughan, Yin Zhang
SRDS
2010
IEEE
13 years 8 months ago
Invariants Based Failure Diagnosis in Distributed Computing Systems
This paper presents an instance based approach to diagnosing failures in computing systems. Owing to the fact that a large portion of occurred failures are repeated ones, our meth...
Haifeng Chen, Guofei Jiang, Kenji Yoshihira, Akhil...
KDD
2007
ACM
149views Data Mining» more  KDD 2007»
14 years 11 months ago
Distributed classification in peer-to-peer networks
This work studies the problem of distributed classification in peer-to-peer (P2P) networks. While there has been a significant amount of work in distributed classification, most o...
Ping Luo, Hui Xiong, Kevin Lü, Zhongzhi Shi
APPINF
2003
14 years 11 days ago
Industrial Diagnostics using Algebra of Uncertain Temporal Relations
Industrial diagnostics is an important application area for many AI formalisms. Temporal diagnostics, based on analyzing temporal relations between values of crucial variables, is...
Vladimir Ryabov, Vagan Y. Terziyan