Robotics & Machine Learning Daily News2024,Issue(Dec.30) :30-30.

Reports Outline Machine Learning Findings from Duke University (Machine Learning With Tree Tensor Networks, Cp Rank Constraints, and Tensor Dropout)

Robotics & Machine Learning Daily News2024,Issue(Dec.30) :30-30.

Reports Outline Machine Learning Findings from Duke University (Machine Learning With Tree Tensor Networks, Cp Rank Constraints, and Tensor Dropout)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – Investigators publish new report on Ma chine Learning. According to news reportingoriginating from Durham, North Carol ina, by NewsRx correspondents, research stated, “Tensor networksdeveloped in th e context of condensed matter physics try to approximate order-N tensors with a reducednumber of degrees of freedom that is only polynomial in N and arranged a s a network of partially contractedsmaller tensors. As we have recently demonst rated in the context of quantum many-body physics,computation costs can be furt her substantially reduced by imposing constraints on the canonical polyadic(CP) rank of the tensors in such networks.”

Key words

Durham/North Carolina/United States/N orth and Central America/Cyborgs/Emerging Technologies/Machine Learning/Duke University

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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