首页|Studies from U.S. Geological Survey (USGS) Yield New Data on Machine Learning (T he Feasibility of Using National-scale Datasets for Classifying Wetlands In Ariz ona With Machine Learning)
Studies from U.S. Geological Survey (USGS) Yield New Data on Machine Learning (T he Feasibility of Using National-scale Datasets for Classifying Wetlands In Ariz ona With Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Research findings on Machine Learning are discussed in a new report. According to news reporting out of Moffett Field, California, by NewsRx editors, research stated, “The advent of machine learning techniques has led to a proliferation of landscape classification products. The se approaches can fill gaps in wetland inventories across the United States (U.S .) provided that large reference datasets are available to develop accurate mode ls.”Financial support for this research came from U.S. Geological Survey Climate Res earch and Development Program.
Moffett FieldCaliforniaUnited StatesNorth and Central AmericaCyborgsEmerging TechnologiesMachine LearningU .S. Geological Survey (USGS)
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