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Novel machine-learning method produces detail

Scientists at the Cornell Lab of Ornithology have developed a novel way to model whether the populations of more than 500 bird species are increasing or decreasing. The method solves a nagging statistical problem by accounting for year-to-year changes in the behavior of people collecting the data. ....

Shawn Ligocki , Amanda Rodewald , Alison Johnston , Wesley Hochachka , Tom Auer , Chris Wood , Lauren Oldham Jaromczyk , Corin Robinson , Steve Kelling , Matthew Strimas Mackey , Daniel Fink , Cornell Lab Of Ornithology , Method Of Research , Cornell Lab , Double Machine , Machine Learning , Double Machine Learning , Double Machine Learning Trend Model , Citizen Science ,

AI Method Maps Population Trends for 550 Bird Species

AI Method Maps Population Trends for 550 Bird Species
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Tom Auer , Shawn Ligocki , Matthew Strimas Mackey , Lauren Oldham Jaromczyk , Chris Wood , Amanda Rodewald , Daniel Fink , Steve Kelling , Wesley Hochachka , Corin Robinson , Alison Johnston , Cornell Lab , Cornell Lab Of Ornithology , Double Machine , Machine Learning , Double Machine Learning , Double Machine Learning Trend Model , Citizen Science ,

Competition limits ranges of mountain birds

Competition limits ranges of mountain birds
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United States , United Kingdom , British Columbia , Matthew Strimas Mackey , Benjamin Freeman , Benjaming Freeman , Eliot Miller , Cornell Lab Of Ornithology , University Of British Columbia , National Science Foundation , Natural Sciences , Engineering Council , Cornell Lab , North America , Ornate Hawk Eagle , National Science ,