Application of machine learning algorithms to identify cryptic reproductive habitats using diverse information sources
Jacob W. Brownscombe, Lucas P. Griffin, Danielle Morley, Alejandro Acosta, John Hunt, Susan Lowerre‐Barbieri, Aaron J. Adams, Andy J. Danylchuk, Steven J. Cooke
Topics & Concepts
Machine learningComplementarity (molecular biology)BiologyArtificial intelligenceCluster analysisRandom forestHabitatEcologyComputer scienceGeneticsMarine and fisheries researchFish Ecology and Management StudiesBayesian Modeling and Causal Inference