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BMCBI
2006
101views more  BMCBI 2006»
15 years 2 months ago
SynTReN: a generator of synthetic gene expression data for design and analysis of structure learning algorithms
Background: The development of algorithms to infer the structure of gene regulatory networks based on expression data is an important subject in bioinformatics research. Validatio...
Tim Van den Bulcke, Koen Van Leemput, Bart Naudts,...
CDC
2008
IEEE
125views Control Systems» more  CDC 2008»
15 years 8 months ago
Dynamical structure analysis of sparsity and minimality heuristics for reconstruction of biochemical networks
— Network reconstruction, i.e. obtaining network structure from input-output information, is a central theme in systems biology. A variety of approaches aim to obtaining structur...
Russell Howes, Lee John Eccleston, Jorge M. Goncal...
CIKM
2010
Springer
14 years 10 months ago
Crawling the web for structured documents
Structured Information Retrieval is gaining a lot of interest in recent years, as this kind of information is becoming an invaluable asset for professional communities such as Sof...
Julián Urbano, Juan Loréns, Yorgos A...
GECCO
2007
Springer
558views Optimization» more  GECCO 2007»
15 years 8 months ago
A chain-model genetic algorithm for Bayesian network structure learning
Bayesian Networks are today used in various fields and domains due to their inherent ability to deal with uncertainty. Learning Bayesian Networks, however is an NP-Hard task [7]....
Ratiba Kabli, Frank Herrmann, John McCall
INTERSENSE
2006
ACM
15 years 8 months ago
Issues in designing a compilation framework for macroprogrammed networked sensor systems
— There is growing interest in the networked sensing community in the technique of macroprogramming, where the end-user can design a system using a high level description without...
Animesh Pathak, Viktor K. Prasanna