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AGTIVE
2007
Springer
14 years 4 months ago
Using Graph Transformation to Support Collaborative Ontology Evolution
In collaborative ontology engineering, contexts are key to manage the complexity of different dependency types between ontological artefacts. Instead of being frustrated by out-of...
Pieter De Leenheer, Tom Mens
PKDD
2009
Springer
134views Data Mining» more  PKDD 2009»
14 years 4 months ago
Mining Graph Evolution Rules
In this paper we introduce graph-evolution rules, a novel type of frequency-based pattern that describe the evolution of large networks over time, at a local level. Given a sequenc...
Michele Berlingerio, Francesco Bonchi, Björn ...
IWANN
2007
Springer
14 years 4 months ago
A Comparison Between ANN Generation and Training Methods and Their Development by Means of Graph Evolution: 2 Sample Problems
Abstract. This paper presents a study in which a new technique for automatically developing Artificial Neural Networks (ANNs) by means of Evolutionary Computation (EC) tools is com...
Daniel Rivero, Julian Dorado, Juan R. Rabuñ...
ECCV
2010
Springer
14 years 2 months ago
A Stochastic Graph Evolution Framework for Robust Multi-Target Tracking
Maintaining the stability of tracks on multiple targets in video over extended time periods remains a challenging problem. A few methods which have recently shown encouraging resul...
ICGA
1997
126views Optimization» more  ICGA 1997»
13 years 11 months ago
Evolution of Graph-Like Programs with Parallel Distributed Genetic Programming
Parallel Distributed Genetic Programming (PDGP) is a new form of Genetic Programming (GP) suitable for the development of programs with a high degree of parallelism. Programs are ...
Riccardo Poli