A Recommendation System for Cloud AI Services

Many learned inference engines have been released as cloud-based AI services. However, learned AI services are black boxes, and it is difficult for users to decide which service to choose. We propose a comparison service to infer the best AI service by learning their different output results as trai...

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Veröffentlicht in:	Transactions of the Japanese Society for Artificial Intelligence 2022/03/01, Vol.37(2), pp.F-L65_1-8
Hauptverfasser:	Hoshino, Atsushi, Saito, Takumi, Oka, Mizuki
Format:	Artikel
Sprache:	jpn
Schlagworte:	Accuracy Cloud computing deep learning explainable AI face classification Learning meta learning multiple output CNN optimization recommendation Recommender systems Training
Online-Zugang:	Volltext
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