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» State-space analysis of Boolean networks
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CEC
2009
IEEE
14 years 1 months ago
Evolving modular neural-networks through exaptation
— Despite their success as optimization methods, evolutionary algorithms face many difficulties to design artifacts with complex structures. According to paleontologists, living...
Jean-Baptiste Mouret, Stéphane Doncieux
TACAS
2007
Springer
99views Algorithms» more  TACAS 2007»
14 years 14 days ago
"Don't Care" Modeling: A Logical Framework for Developing Predictive System Models
Analysis of biological data often requires an understanding of components of pathways and/or networks and their mutual dependency relationships. Such systems are often analyzed and...
Hillel Kugler, Amir Pnueli, Michael J. Stern, E. J...
ICDCSW
2006
IEEE
14 years 12 days ago
Dimension-Based Subscription Pruning for Publish/Subscribe Systems
Subscription pruning has been proven as valuable routing optimization for Boolean subscriptions in publish/subscribe systems. It aims at optimizing subscriptions independently of ...
Sven Bittner, Annika Hinze
ISNN
2010
Springer
13 years 4 months ago
Extension of the Generalization Complexity Measure to Real Valued Input Data Sets
Abstract. This paper studies the extension of the Generalization Complexity (GC) measure to real valued input problems. The GC measure, defined in Boolean space, was proposed as a...
Iván Gómez, Leonardo Franco, Jos&eac...
BMCBI
2010
152views more  BMCBI 2010»
13 years 6 months ago
Comparative study of discretization methods of microarray data for inferring transcriptional regulatory networks
Background: Microarray data discretization is a basic preprocess for many algorithms of gene regulatory network inference. Some common discretization methods in informatics are us...
Yong Li, Lili Liu, Xi Bai, Hua Cai, Wei Ji, Dianji...