首页|Findings from Kansas State University in the Area of Machine Learning Reported ( Treed Gaussian Processes for Animal Movement Modeling)
Findings from Kansas State University in the Area of Machine Learning Reported ( Treed Gaussian Processes for Animal Movement Modeling)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on Ma chine Learning. According to news reporting originating from Manhattan, Kansas, by NewsRx correspondents, research stated, "Wildlife telemetry data may be used to answer a diverse range of questions relevant to wildlife ecology and manageme nt. One challenge to modeling telemetry data is that animal movement often varie s greatly in pattern over time, and current continuous-time modeling approaches to handle such nonstationarity require bespoke and often complex models that may pose barriers to practitioner implementation." Financial supporters for this research include Kansas State University, Kansas S tate University's Lolafaye Coyne research scholarship, U.S. Geological Survey th rough the Kansas Cooperative Fish and Wildlife Research Unit through Research Wo rk Order 70.
ManhattanKansasUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesGaussian ProcessesMachine LearningKansas State University
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