首页|New Findings from Ohio State University in the Area of Machine Learning Reported (Machine Learning Reveals That Climate, Geography, and Cultural Drift All Predict Bird Song Variation In Coastal zonotrichia Leucophrys)
New Findings from Ohio State University in the Area of Machine Learning Reported (Machine Learning Reveals That Climate, Geography, and Cultural Drift All Predict Bird Song Variation In Coastal zonotrichia Leucophrys)
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NETL
NSTL
Oxford Univ Press
Fresh data on Machine Learning are presented in a new report. According to news originating from Columbus, Ohio, by NewsRx correspondents, research stated, “Previous work has demonstrated that there is extensive variation in the songs of White-crowned Sparrow (Zonotrichia leucophrys) throughout the species range, including between neighboring (and genetically distinct) subspecies Z. l. nuttalli and Z. l. pugetensis. Using a machine learning approach to bioacoustic analysis, we demonstrate that variation in song is correlated with year of recording (representing cultural drift), geographic distance, and climatic differences, but the response is subspecies- and season-specific.” Financial supporters for this research include National Science Foundation (NSF), Undergraduate Diversity at Evolution program.
ColumbusOhioUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningOhio State University
NETL
NSTL
Oxford Univ Press
