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GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
15 years 10 months ago
A Genetic Approach for Gene Selection on Microarray Expression Data
Abstract. Microarrays allow simultaneous measurement of the expression levels of thousands of genes in cells under different physiological or disease states. Because the number of...
Yong-Hyuk Kim, Su-Yeon Lee, Byung Ro Moon
APN
2005
Springer
15 years 10 months ago
Genetic Process Mining
The topic of process mining has attracted the attention of both researchers and tool vendors in the Business Process Management (BPM) space. The goal of process mining is to discov...
Wil M. P. van der Aalst, Ana Karla A. de Medeiros,...
GECCO
2004
Springer
140views Optimization» more  GECCO 2004»
15 years 10 months ago
Keeping the Diversity with Small Populations Using Logic-Based Genetic Programming
We present a new method of Logic-Based Genetic Programming (LBGP). Using the intrinsic mechanism of backtracking in Prolog, we utilize large individual programs with redundant clau...
Ken Taniguchi, Takao Terano
BMCBI
2008
214views more  BMCBI 2008»
15 years 3 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 10 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...