首页|Shandong University Reports Findings in Support Vector Machines (Classification of LAMOST spectra of B-type and hot subdwarf stars using kernel support vector m achine)

Shandong University Reports Findings in Support Vector Machines (Classification of LAMOST spectra of B-type and hot subdwarf stars using kernel support vector m achine)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews – New research on Support Vector Machines is the su bject of a report. According to news reportingout of Shandong, People’s Republi c of China, by NewsRx editors, research stated, “Machine learninghas emerged as a leading field in artificial intelligence, demonstrating expert-level performa nce in variousdomains. Astronomy has benefited from machine learning techniques , particularly in classifying andidentifying stars based on their features.”

ShandongPeople’s Republic of ChinaAs iaAstronomyCyborgsEmerging TechnologiesMachine LearningMathematicsPh ysicsPolynomialSupport Vector MachinesVector Machines

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(Aug.7)