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IJAR
2008
119views more  IJAR 2008»
13 years 8 months ago
Adapting Bayes network structures to non-stationary domains
When an incremental structural learning method gradually modifies a Bayesian network (BN) structure to fit observations, as they are read from a database, we call the process stru...
Søren Holbech Nielsen, Thomas D. Nielsen
ICML
1996
IEEE
14 years 9 months ago
Discretizing Continuous Attributes While Learning Bayesian Networks
We introduce a method for learning Bayesian networks that handles the discretization of continuous variables as an integral part of the learning process. The main ingredient in th...
Moisés Goldszmidt, Nir Friedman
ICDCSW
2000
IEEE
14 years 12 days ago
Compositional Verification of a Third Generation Mobile Communication Protocol
Model-checking has turned out to be an efficient and relatively easy-to-use technique in the verification of formally described programs. However, there is one major drawback in u...
Sari Leppänen, Matti Luukkainen
ISOLA
2010
Springer
13 years 7 months ago
On-the-Fly Interoperability through Automated Mediator Synthesis and Monitoring
Abstract. Interoperability is a key and challenging requirement in today’s and future systems, which are often characterized by an extreme level of heterogeneity. To build an int...
Antonia Bertolino, Paola Inverardi, Valérie...
BMCBI
2006
119views more  BMCBI 2006»
13 years 8 months ago
A methodology for the structural and functional analysis of signaling and regulatory networks
Background: Structural analysis of cellular interaction networks contributes to a deeper understanding of network-wide interdependencies, causal relationships, and basic functiona...
Steffen Klamt, Julio Saez-Rodriguez, Jonathan A. L...