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DMIN
2006
125views Data Mining» more  DMIN 2006»
13 years 9 months ago
Privacy-Preserving Bayesian Network Learning From Heterogeneous Distributed Data
In this paper, we propose a post randomization technique to learn a Bayesian network (BN) from distributed heterogeneous data, in a privacy sensitive fashion. In this case, two or ...
Jianjie Ma, Krishnamoorthy Sivakumar
ECAI
2006
Springer
13 years 11 months ago
Knowledge Engineering for Bayesian Networks: How Common Are Noisy-MAX Distributions in Practice?
One problem faced in knowledge engineering for Bayesian networks is the exponential growth of the number of parameters in their conditional probability tables (CPTs). The most comm...
Adam Zagorecki, Marek J. Druzdzel
DKE
2008
85views more  DKE 2008»
13 years 7 months ago
On automatic knowledge validation for Bayesian knowledge bases
Knowledge validation, as part of knowledge base verification and validation is a critical process in knowledge engineering. The ultimate goal of this process is to make the knowle...
Eugene Santos Jr., Hang T. Dinh
INFOCOM
2007
IEEE
14 years 2 months ago
Reliable Broadcast in Wireless Networks with Probabilistic Failures
We consider the problem of reliable broadcast in a wireless network in which nodes are prone to failure. In the failure mode considered in this paper, each node can fail independe...
Vartika Bhandari, Nitin H. Vaidya
RECOMB
2007
Springer
14 years 8 months ago
A Bayesian Model That Links Microarray mRNA Measurements to Mass Spectrometry Protein Measurements
Abstract. An important problem in biology is to understand correspondences between mRNA microarray levels and mass spectrometry peptide counts. Recently, a compendium of mRNA expre...
Anitha Kannan, Andrew Emili, Brendan J. Frey