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BMCBI
2008
214views more  BMCBI 2008»
15 years 4 months ago
Enhanced Bayesian modelling in BAPS software for learning genetic structures of populations
Background: During the most recent decade many Bayesian statistical models and software for answering questions related to the genetic structure underlying population samples have...
Jukka Corander, Pekka Marttinen, Jukka Siré...
BPM
2005
Springer
126views Business» more  BPM 2005»
15 years 11 months ago
Genetic Process Mining: A Basic Approach and Its Challenges
One of the aims of process mining is to retrieve a process model from a given event log. However, current techniques have problems when mining processes that contain non-trivial co...
Ana Karla A. de Medeiros, A. J. M. M. Weijters, Wi...
ECAL
2005
Springer
15 years 11 months ago
Slime Mould and the Transition to Multicellularity: The Role of the Macrocyst Stage
The transition from unicellular to multicellular organisms is one of the mysteries of evolutionary biology. Individual cells must give up their rights to reproduction and reproduce...
John Bryden
161
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GECCO
2007
Springer
183views Optimization» more  GECCO 2007»
16 years 3 days ago
Distribution replacement: how survival of the worst can out perform survival of the fittest
A new family of "Distribution Replacement” operators for use in steady state genetic algorithms is presented. Distribution replacement enforces the members of the populatio...
Howard Tripp, Phil Palmer
CEC
2007
IEEE
15 years 10 months ago
Mining association rules from databases with continuous attributes using genetic network programming
Most association rule mining algorithms make use of discretization algorithms for handling continuous attributes. Discretization is a process of transforming a continuous attribute...
Karla Taboada, Eloy Gonzales, Kaoru Shimada, Shing...