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» Reactive rules inference from dynamic dependency models
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BMCBI
2007
164views more  BMCBI 2007»
14 years 9 months ago
Comparison of probabilistic Boolean network and dynamic Bayesian network approaches for inferring gene regulatory networks
Background: The regulation of gene expression is achieved through gene regulatory networks (GRNs) in which collections of genes interact with one another and other substances in a...
Peng Li, Chaoyang Zhang, Edward J. Perkins, Ping G...
EPIA
2003
Springer
15 years 2 months ago
An Evolvable Rule-Based E-mail Agent
The Semantic Web is a “living organism”, which combines autonomously evolving data sources/knowledge repositories. This dynamic character of the Semantic Web requires (declarat...
José Júlio Alferes, Antonio Brogi, J...
GECCO
2007
Springer
151views Optimization» more  GECCO 2007»
15 years 3 months ago
Dynamical blueprints: exploiting levels of system-environment interaction
Developmental systems typically produce a phenotype through a generative process whose outcome depends on feedback from the environment. In most artificial developmental systems, ...
Nicolás S. Estévez, Hod Lipson
SPLC
2008
14 years 11 months ago
Calculating and Modeling Common Parts of Software Product Lines
This paper builds on product line CCS (PL-CCS), an algebraic approach to modeling the behavior of software product lines. The semantics of PL-CCS specifications is given in terms ...
Alexander Gruler, Martin Leucker, Kathrin D. Schei...
AAAI
2012
12 years 12 months ago
Advances in Lifted Importance Sampling
We consider lifted importance sampling (LIS), a previously proposed approximate inference algorithm for statistical relational learning (SRL) models. LIS achieves substantial vari...
Vibhav Gogate, Abhay Kumar Jha, Deepak Venugopal