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» Automated Learning of Rules Using Genetic Operators
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GECCO
2008
Springer
184views Optimization» more  GECCO 2008»
13 years 8 months ago
Analysis of mammography reports using maximum variation sampling
A genetic algorithm (GA) was developed to implement a maximum variation sampling technique to derive a subset of data from a large dataset of unstructured mammography reports. It ...
Robert M. Patton, Barbara G. Beckerman, Thomas E. ...
RECOMB
2003
Springer
14 years 8 months ago
Optimizing exact genetic linkage computations
Genetic linkage analysis is a challenging application which requires Bayesian networks consisting of thousands of vertices. Consequently, computing the likelihood of data, which i...
Dan Geiger, Maáyan Fishelson
UPP
2004
Springer
14 years 1 months ago
Inverse Design of Cellular Automata by Genetic Algorithms: An Unconventional Programming Paradigm
Evolving solutions rather than computing them certainly represents an unconventional programming approach. The general methodology of evolutionary computation has already been know...
Thomas Bäck, Ron Breukelaar, Lars Willmes
SOSYM
2010
107views more  SOSYM 2010»
13 years 6 months ago
A UML/OCL framework for the analysis of graph transformation rules
In this paper we present an approach for the analysis of graph transformation rules based on an intermediate OCL representation. We translate different rule semantics into OCL, to...
Jordi Cabot, Robert Clarisó, Esther Guerra,...
HICSS
2009
IEEE
126views Biometrics» more  HICSS 2009»
13 years 11 months ago
Specifying and Analyzing Workflows for Automated Identification and Data Capture
Humans use computers to carry out tasks that neither is able to do easily alone: humans provide eyes, hands, and judgment while computers provide computation, networking, and stor...
Elsa L. Gunter, Ayesha Yasmeen, Carl A. Gunter, An...