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» Modelling Variability for System Families
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IJAR
2011
62views more  IJAR 2011»
13 years 5 days ago
Measuring and repairing inconsistency in probabilistic knowledge bases
In this paper we present a family of measures aimed at determining the amount of inconsistency in probabilistic knowledge bases. Our approach to measuring inconsistency is graded ...
David Picado-Muiño
EOR
2007
102views more  EOR 2007»
13 years 8 months ago
Sub-stochastic matrix analysis for bounds computation - Theoretical results
Performance evaluation of complex systems is a critical issue and bounds computation provides confidence about service quality, reliability, etc. of such systems. The stochastic ...
Serge Haddad, Patrice Moreaux
CRV
2009
IEEE
115views Robotics» more  CRV 2009»
14 years 3 months ago
Learning Model Complexity in an Online Environment
In this paper we introduce the concept and method for adaptively tuning the model complexity in an online manner as more examples become available. Challenging classification pro...
Dan Levi, Shimon Ullman
BMCBI
2004
177views more  BMCBI 2004»
13 years 8 months ago
Gapped alignment of protein sequence motifs through Monte Carlo optimization of a hidden Markov model
Background: Certain protein families are highly conserved across distantly related organisms and belong to large and functionally diverse superfamilies. The patterns of conservati...
Andrew F. Neuwald, Jun S. Liu
JMLR
2010
157views more  JMLR 2010»
13 years 3 months ago
Why are DBNs sparse?
Real stochastic processes operating in continuous time can be modeled by sets of stochastic differential equations. On the other hand, several popular model families, including hi...
Shaunak Chatterjee, Stuart Russell