首页|New Machine Learning Findings Reported from University of Melbourne (Directive E xplanations for Actionable Explainability In Machine Learning Applications)
New Machine Learning Findings Reported from University of Melbourne (Directive E xplanations for Actionable Explainability In Machine Learning Applications)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on Ma chine Learning.According to news reporting from Melbourne, Australia, by NewsRx journalists, research stated, “In this article, we show that explanations of de cisions made by machine learning systems can be improved by not only explaining why a decision was made but also explaining how an individual could obtain their desired outcome.We formally define the concept of directive explanations (thos e that offer specific actions an individual could take to achieve their desired outcome), introduce two forms of directive explanations (directive-specific and directive-generic), and describe how these can be generated computationally.”
MelbourneAustraliaAustralia and New ZealandCyborgsEmerging TechnologiesMachine LearningUniversity of Melbour ne
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