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Knowledge-Based Systems, ISSN 0950-7051, 09/2014, Volume 67, pp. 342 - 360
Instance selection is one of the most important preprocessing steps in many machine learning tasks. Due to the increasing size of the problems, removing... 
Boosting | Instance selection | Data mining | Large datasets | Classifier ensembles | NEAREST-NEIGHBOR RULE | ENSEMBLES | CLASSIFICATION | RANDOM SUBSPACE METHOD | ONLINE | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | CLASSIFIERS | REDUCTION | LEARNING ALGORITHMS | PROTOTYPE SELECTION | Algorithms | Machine learning | Tasks | Balancing | Preprocessing | Classification | Knowledge base | Data reduction
Journal Article
Journal Article
MOLECULAR ECOLOGY RESOURCES, ISSN 1755-098X, 03/2011, Volume 11, pp. 184 - 194
Genome scans with many genetic markers provide the opportunity to investigate local adaptation in natural populations and identify candidate genes under... 
candidate markers | POPULATION | SIGNATURES | BIOCHEMISTRY & MOLECULAR BIOLOGY | GENETIC DIFFERENTIATION | MARKERS | CANDIDATE LOCI | GENOME SCANS | EVOLUTIONARY BIOLOGY | divergent selection | POSITIVE SELECTION | ADAPTATION | ECOLOGY | F-ST outlier tests | balancing selection | ASSOCIATION | STRATIFICATION
Journal Article
Immunogenetics, ISSN 0093-7711, 7/2018, Volume 70, Issue 7, pp. 477 - 484
Journal Article
The American Naturalist, ISSN 0003-0147, 06/2015, Volume 185, Issue 6, pp. E182 - E196
Journal Article