Studies in the Area of Support Vector Machines Reported from Faculty of Sciences (Sparse Least-squares Universum Twin Bounded Support Vector Machine With Adapti ve lp-norms and Feature Selection)

Robotics & Machine Learning Daily News2024，Issue(Aug.21) ：51-52.

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Studies in the Area of Support Vector Machines Reported from Faculty of Sciences (Sparse Least-squares Universum Twin Bounded Support Vector Machine With Adapti ve lp-norms and Feature Selection)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News - Investigators discuss new findings in Support Vector Machines. According to newsreporting from Usti nad Labem, Czech Republic, by NewsRx journalists, research stated, “In data analysis,when attemp ting to solve classification problems, we may encounter a large number of featur es. However,not all features are relevant for the current classification, and i ncluding irrelevant features can occasionallydegrade learning performance.”

Key words

Usti nad Labem/Czech Republic/Europe/Emerging Technologies/Machine Learning/Support Vector Machines/Vector Machine s/Faculty of Sciences

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出版年

2024

Robotics & Machine Learning Daily News

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