A practical approach to feature selection
ML92 Proceedings of the ninth international workshop on Machine learning
Estimating attributes: analysis and extensions of RELIEF
ECML-94 Proceedings of the European conference on machine learning on Machine Learning
Future Generation Computer Systems
Understanding the Crucial Role of AttributeInteraction in Data Mining
Artificial Intelligence Review
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
The Design of Innovation: Lessons from and for Competent Genetic Algorithms
Theoretical and Empirical Analysis of ReliefF and RReliefF
Machine Learning
Tuning ReliefF for genome-wide genetic analysis
EvoBIO'07 Proceedings of the 5th European conference on Evolutionary computation, machine learning and data mining in bioinformatics
PRIB'07 Proceedings of the 2nd IAPR international conference on Pattern recognition in bioinformatics
Exploiting expert knowledge in genetic programming for genome-wide genetic analysis
PPSN'06 Proceedings of the 9th international conference on Parallel Problem Solving from Nature
Ant colony optimization for resource-constrained project scheduling
IEEE Transactions on Evolutionary Computation
EvoBIO '09 Proceedings of the 7th European Conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
PRIB'10 Proceedings of the 5th IAPR international conference on Pattern recognition in bioinformatics
Ant colony optimisation to identify genetic variant association with type 2 diabetes
Information Sciences: an International Journal
An analysis of new expert knowledge scaling methods for biologically inspired computing
ECAL'09 Proceedings of the 10th European conference on Advances in artificial life: Darwin meets von Neumann - Volume Part II
Artificial immune systems for epistasis analysis in human genetics
EvoBIO'10 Proceedings of the 8th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Artificial immune systems perform valuable work when detecting epistasis in human genetic datasets
EvoBIO'12 Proceedings of the 10th European conference on Evolutionary Computation, Machine Learning and Data Mining in Bioinformatics
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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In human genetics it is now feasible to measure large numbers of DNA sequence variations across the human genome. Given current knowledge about biological networks and disease processes it seems likely that disease risk can best be modeled by interactions between biological components, which can be examined as interacting DNA sequence variations. The machine learning challenge is to effectively explore interactions in these datasets to identify combinations of variations which are predictive of common human diseases. Ant colony optimization (ACO) is a promising approach to this problem. The goal of this study is to examine the usefulness of ACO for problems in this domain and to develop a prototype of an expert knowledge guided probabilistic search wrapper. We show that an ACO approach is not successful in the absence of expert knowledge but is successful when expert knowledge is supplied through the pheromone updating rule.