首页|New Findings Reported from University of New Orleans Describe Advances in Machin e Learning (Varying Influences of the Built Environment On Household Travel In t he United States - an Update With 36 Diverse Regions and Machine Learning)
New Findings Reported from University of New Orleans Describe Advances in Machin e Learning (Varying Influences of the Built Environment On Household Travel In t he United States - an Update With 36 Diverse Regions and Machine Learning)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Researchers detail new data in Machine Learning. According to news reporting fromNew Orleans, Louisiana, by NewsRx jo urnalists, research stated, “People’s daily travel behavior can havefar-reachin g impacts on issues ranging from climate change and public health to social equi ty. This studyaddresses a gap in the literature regarding the effects of built environments on travel behavior using alarge (one million trips from 100,000 ho useholds), geographically precise (household XY coordinates), andmultiregional (36 regions) dataset and machine learning analysis (boosted regression trees, BR T).”
New OrleansLouisianaUnited StatesN orth and Central AmericaCyborgsEmerging TechnologiesMachine LearningUniv ersity of New Orleans
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