Optimizing search engines using clickthrough data
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
Feature subset selection for learning preferences: a case study
ICML '04 Proceedings of the twenty-first international conference on Machine learning
Efficient Feature Selection via Analysis of Relevance and Redundancy
The Journal of Machine Learning Research
Learning to Predict One or More Ranks in Ordinal Regression Tasks
ECML PKDD '08 Proceedings of the 2008 European Conference on Machine Learning and Knowledge Discovery in Databases - Part I
A kernel based method for discovering market segments in beef meat
PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
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In the search for functional relationships between genotypes and phenotypes, there are two possible findings. A phenotype may be heritable when it depends on a reduced set of genetic markers. Or it may be predictable from a wide genomic description. The distinction between these two kinds of functional relationships is very important since the computational tools used to find them are quite different. In this paper we present a general framework to deal with phenotypes and genotypes, and we study the case of the height of barley plants: a predictable phenotype whose heritability is quite reduced.