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» Complexity of Inference in Graphical Models
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TOSEM
1998
80views more  TOSEM 1998»
13 years 8 months ago
Discovering Models of Software Processes from Event-Based Data
Many software process methods and tools presuppose the existence of a formal model of a process. Unfortunately, developing a formal model for an on-going, complex process can be d...
Jonathan E. Cook, Alexander L. Wolf
PRL
2010
173views more  PRL 2010»
13 years 7 months ago
Resolving stereo matching errors due to repetitive structures using model information
This study regards the problem of incorrect stereo matches due to the occurrence of repetitive structures in the scene. In stereo vision, repetitive structures may lead to “phan...
Björn Barrois, Marcus Konrad, Christian W&oum...
BMCBI
2010
165views more  BMCBI 2010»
13 years 9 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
PLDI
2012
ACM
11 years 11 months ago
Dynamic synthesis for relaxed memory models
Modern architectures implement relaxed memory models which may reorder memory operations or execute them non-atomically. Special instructions called memory fences are provided, al...
Feng Liu, Nayden Nedev, Nedyalko Prisadnikov, Mart...
IJCNN
2006
IEEE
14 years 3 months ago
Sparse Bayesian Models: Bankruptcy-Predictors of Choice?
Abstract— Making inferences and choosing appropriate responses based on incomplete, uncertainty and noisy data is challenging in financial settings particularly in bankruptcy de...
Bernardete Ribeiro, Armando Vieira, João Ca...