首页|Data on Machine Learning Discussed by Researchers at Getulio Vargas Foundation ( Mining Pareto-optimal Counterfactual Antecedents With a Branch-and-bound Model-a gnostic Algorithm)
Data on Machine Learning Discussed by Researchers at Getulio Vargas Foundation ( Mining Pareto-optimal Counterfactual Antecedents With a Branch-and-bound Model-a gnostic Algorithm)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News – Data detailed on Machine Learning have been prese nted. According to news reporting originating in Rio de Janeiro, Brazil, by News Rx journalists, research stated, “Mining counterfactual antecedents became a val uable tool to discover knowledge and explain machine learning models. It consist s of generating synthetic samples from an original sample to achieve the desired outcome in a machine learning model, thus helping to understand the prediction. ” Funders for this research include Conselho Nacional de Desenvolvimento Cientific o e Tecnologico (CNPQ), Getulio Vargas Foundation.
Rio de JaneiroBrazilSouth AmericaA lgorithmsCyborgsEmerging TechnologiesMachine LearningGetulio Vargas Foun dation
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