首页|Studies from Field Museum of Natural History Further Understanding of Machine Le arning [Morphological Species Delimitation In the Western Pon d Turtle (Actinemys): Can Machine Learning Methods Aid In Cryptic Species Identi fication?]
Studies from Field Museum of Natural History Further Understanding of Machine Le arning [Morphological Species Delimitation In the Western Pon d Turtle (Actinemys): Can Machine Learning Methods Aid In Cryptic Species Identi fication?]
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators discuss new findings in Machine Learning. According to news originating from Chicago, Illinois, by NewsR x correspondents, research stated, “As the discovery of cryptic species has incr eased in frequency, there has been an interest in whether geometric morphometric data can detect fine-scale patterns of variation that can be used to morphologi cally diagnose such species. We used a combination of geometric morphometric dat a and an ensemble of five supervised machine learning methods (MLMs) to investig ate whether plastron shape can differentiate two putative cryptic turtle species , Actinemys marmorata and Actinemys pallida.”
ChicagoIllinoisUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningField Mus eum of Natural History
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