首页|Reports from University of Seville Advance Knowledge in Machine Learning (Predic ting the Clothing Insulation Through Machine Learning Algorithms: a Comparative Analysis and a Practical Approach)
Reports from University of Seville Advance Knowledge in Machine Learning (Predic ting the Clothing Insulation Through Machine Learning Algorithms: a Comparative Analysis and a Practical Approach)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – Researchers detail new data in Machine Learning. According to news reporting out of Seville,Spain, by NewsRx editors, research s tated, “Since indoor clothing insulation is a key element in thermalcomfort mod els, the aim of the present study is proposing an approach for predicting it, wh ich couldassist the occupants of a building in terms of recommendations regardi ng their ensemble. For that, asystematic analysis of input variables is exposed , and 13 regression and 12 classification machine learningalgorithms were devel oped and compared.”
SevilleSpainEuropeAlgorithmsCybo rgsEmerging TechnologiesMachine LearningUniversity of Seville
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