Robotics & Machine Learning Daily News2024,Issue(Oct.1) :10-11.

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)

Robotics & Machine Learning Daily News2024,Issue(Oct.1) :10-11.

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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Abstract

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.

Key words

Rio de Janeiro/Brazil/South America/A lgorithms/Cyborgs/Emerging Technologies/Machine Learning/Getulio Vargas Foun dation

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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