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» Evolution of Biological Complexity
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BIBE
2007
IEEE
149views Bioinformatics» more  BIBE 2007»
15 years 8 months ago
XML Encoding of Features Describing Rule-Based Modeling of Reaction Networks with Multi-Component Molecular Complexes
Multi-state molecules and multi-component complexes are commonly involved in cellular signaling. Accounting for molecules that have multiple potential states, such as a protein tha...
Michael L. Blinov, Ion I. Moraru
AIIA
2007
Springer
15 years 10 months ago
Evolving Complex Neural Networks
Abstract. Complex networks like the scale-free model proposed by BarabasiAlbert are observed in many biological systems and the application of this topology to artificial neural ne...
Mauro Annunziato, Ilaria Bertini, Matteo De Felice...
ICCBR
2005
Springer
15 years 9 months ago
CBR for Modeling Complex Systems
This paper describes how CBR can be used to compare, reuse, and adapt inductive models that represent complex systems. Complex systems are not well understood and therefore require...
Rosina Weber, Jason M. Proctor, Ilya Waldstein, An...
KDD
2008
ACM
284views Data Mining» more  KDD 2008»
16 years 4 months ago
Community evolution in dynamic multi-mode networks
A multi-mode network typically consists of multiple heterogeneous social actors among which various types of interactions could occur. Identifying communities in a multi-mode netw...
Lei Tang, Huan Liu, Jianping Zhang, Zohreh Nazeri
IWPSE
2003
IEEE
15 years 9 months ago
Program Slicing Tool for Effective Software Evolution Using Aspect-Oriented Technique
One of the issues in software evolution is debugging. Debugging large and complex software systems evolved requires a lot of effort since it is very difficult to localize and ide...
Takashi Ishio, Shinji Kusumoto, Katsuro Inoue