Automated Taxon Identification in Systematics
Theory, Approaches and Applications
Herausgeber: Macleod, Norman
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Automated Taxon Identification in Systematics shows how automated identification can be applied to various organismal groups. It is the first text to address the interface between the species recognition question in the biological sciences and the class recognition problem in mathematics and statistics. It will be of interest to taxonomists as well as computational professionals who focus on the biological sciences. Featuring high-profile contributors, the text presents current trends in quantitative approaches to group-recognition challenges, discusses the identification capabilities of curre...
Automated Taxon Identification in Systematics shows how automated identification can be applied to various organismal groups. It is the first text to address the interface between the species recognition question in the biological sciences and the class recognition problem in mathematics and statistics. It will be of interest to taxonomists as well as computational professionals who focus on the biological sciences. Featuring high-profile contributors, the text presents current trends in quantitative approaches to group-recognition challenges, discusses the identification capabilities of current software systems, and evaluates applications of this technology to present and future problems.
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