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CORR
2010
Springer
160views Education» more  CORR 2010»
13 years 8 months ago
Scalable Probabilistic Databases with Factor Graphs and MCMC
Incorporating probabilities into the semantics of incomplete databases has posed many challenges, forcing systems to sacrifice modeling power, scalability, or treatment of relatio...
Michael L. Wick, Andrew McCallum, Gerome Miklau
CORR
2010
Springer
149views Education» more  CORR 2010»
13 years 8 months ago
Group Testing with Probabilistic Tests: Theory, Design and Application
Identification of defective members of large populations has been widely studied in the statistics community under the name of group testing. It involves grouping subsets of items...
Mahdi Cheraghchi, Ali Hormati, Amin Karbasi, Marti...
ENTCS
2008
146views more  ENTCS 2008»
13 years 7 months ago
Probabilistic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions
istic Abstract Interpretation of Imperative Programs using Truncated Normal Distributions Michael J. A. Smith1 ,2 Laboratory for Foundations of Computer Science University of Edinb...
Michael J. A. Smith
BMCBI
2006
121views more  BMCBI 2006»
13 years 7 months ago
Splice site identification using probabilistic parameters and SVM classification
Background: Recent advances and automation in DNA sequencing technology has created a vast amount of DNA sequence data. This increasing growth of sequence data demands better and ...
A. K. M. A. Baten, Bill C. H. Chang, Saman K. Halg...
BMCBI
2010
113views more  BMCBI 2010»
13 years 7 months ago
Probabilistic Principal Component Analysis for Metabolomic Data
Background: Data from metabolomic studies are typically complex and high-dimensional. Principal component analysis (PCA) is currently the most widely used statistical technique fo...
Gift Nyamundanda, Lorraine Brennan, Isobel Claire ...