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ICML
2002
IEEE
14 years 6 months ago
Randomized Variable Elimination
David J. Stracuzzi, Paul E. Utgoff
AAAI
2006
13 years 6 months ago
MPE and Partial Inversion in Lifted Probabilistic Variable Elimination
It is often convenient to represent probabilistic models in a first-order fashion, using logical atoms such as
Rodrigo de Salvo Braz, Eyal Amir, Dan Roth
BMCBI
2008
171views more  BMCBI 2008»
13 years 5 months ago
A general approach to simultaneous model fitting and variable elimination in response models for biological data with many more
Background: With the advent of high throughput biotechnology data acquisition platforms such as micro arrays, SNP chips and mass spectrometers, data sets with many more variables ...
Harri T. Kiiveri
AAAI
2008
13 years 7 months ago
Lifted Probabilistic Inference with Counting Formulas
Lifted inference algorithms exploit repeated structure in probabilistic models to answer queries efficiently. Previous work such as de Salvo Braz et al.'s first-order variabl...
Brian Milch, Luke S. Zettlemoyer, Kristian Kerstin...
TGC
2007
Springer
13 years 11 months ago
Elimination of Ghost Variables in Program Logics
Abstract. Ghost variables are assignable variables that appear in program annotations but do not correspond to physical entities. They are used to facilitate specification and ver...
Martin Hofmann, Mariela Pavlova