摘要
由一名新闻记者-机器人与机器学习的工作人员新闻编辑每日新闻-调查人员发布了关于马学习的新报告。根据NewsRx记者从堪萨斯州曼哈顿发回的新闻报道，研究表明：“野生动物遥测数据可以用来回答与野生动物生态和管理有关的各种问题。建立遥测数据模型的一个挑战是，随着时间的推移，动物的运动模式往往会发生很大变化。”而目前处理这种非平稳性的连续时间建模方法需要定制且往往是复杂的模型，这可能会对从业者的实施构成障碍。这项研究的财政支持者包括堪萨斯州立大学、堪萨斯泰特大学的洛拉菲·科因研究奖学金、美国地质调查局通过第70号研究命令资助堪萨斯鱼类和野生动物合作研究单位。
Abstract
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.
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NSTL