Robotics & Machine Learning Daily News2024,Issue(Jul.5) :57-58.

Findings from University of Leuven (KU Leuven) Broaden Understanding of Machine Learning (Explaining the Model and Feature Dependencies By Decomposition of the Shapley Value)

Robotics & Machine Learning Daily News2024,Issue(Jul.5) :57-58.

Findings from University of Leuven (KU Leuven) Broaden Understanding of Machine Learning (Explaining the Model and Feature Dependencies By Decomposition of the Shapley Value)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Research findings on Machine Learning are discussed in a new report. According tonews reporting originating from Leuv en, Belgium, by NewsRx correspondents, research stated, “Shapleyvalues have bec ome one of the go -to methods to explain complex models to end -users. They prov ide amodel agnostic post -hoc explanation with foundations in game theory: what is the worth of a player (inmachine learning, a feature value) in the objectiv e function (the output of the complex machine learningmodel).”

Key words

Leuven/Belgium/Europe/Cyborgs/Emergi ng Technologies/Machine Learning/University of Leuven (KU Leuven)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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