首页|Findings from Musashino University Advance Knowledge in Machine Learning (PCAIME : Principal Component Analysis-Enhanced Approximate Inverse Model Explanations T hrough Dimensional Decomposition and Expansion)
Findings from Musashino University Advance Knowledge in Machine Learning (PCAIME : Principal Component Analysis-Enhanced Approximate Inverse Model Explanations T hrough Dimensional Decomposition and Expansion)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Investigators publish new report on ar tificial intelligence. According to news originating from Tokyo, Japan, by NewsR x correspondents, research stated, “Complex ‘black-box’ artificial intelligence (AI) models are interpreted using interpretive machine learning and explainable AI (XAI); therefore, assessing the importance of global and local features is cr ucial. The previously proposed approximate inverse model explanation (AIME) offe rs unified explanations of global and local feature importance.” Financial supporters for this research include Department of Data Science, Musas hino University, Tokyo, Japan.
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