首页|New Machine Learning Data Have Been Reported by Researchers at Macalester Colleg e (Machine Learning Approaches Delimit Cryptic Taxa In a Previously Intractable Species Complex)
New Machine Learning Data Have Been Reported by Researchers at Macalester Colleg e (Machine Learning Approaches Delimit Cryptic Taxa In a Previously Intractable Species Complex)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – New research on Machine Learning is th e subject of a report. According to news reporting from St. Paul, Minnesota, by NewsRx journalists, research stated, “Cryptic species are not diagnosable via mo rphological criteria, but can be detected through analysis of DNA sequences. A n umber of methods have been developed for identifying species based on genetic da ta; however, these methods are prone to over-splitting taxa with extreme populat ion structure, such as dispersal-limited organisms.” Financial supporters for this research include Macalester College, Arnold and Ma bel Beckman Foundation, National Science Foundation (NSF).
St. PaulMinnesotaUnited StatesNort h and Central AmericaCyborgsEmerging TechnologiesGeneticsMachine Learnin gMacalester College
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