Robotics & Machine Learning Daily News2024,Issue(Sep.3) :40-41.

Investigators at New York University (NYU) Describe Findings in Machine Learning (Notplanet: Removing False Positives From Planet Hunters Tess With Machine Lear ning)

Robotics & Machine Learning Daily News2024,Issue(Sep.3) :40-41.

Investigators at New York University (NYU) Describe Findings in Machine Learning (Notplanet: Removing False Positives From Planet Hunters Tess With Machine Lear ning)

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Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning DailyNews Daily News – A new study on Machine Learning is now available. According to news reporting fromNew York City, New York, by NewsRx journalists, research stated, “Differentiating between real transit events and f alse-positive signals in photometric time-series data is a bottleneck in the ide ntificationof transiting exoplanets, particularly long-period planets. This dif ferentiation typically requires visualinspection of a large number of transit-l ike signals to rule out instrumental and astrophysical false positivesthat mimi c planetary transit signals.”

Key words

New York City/New York/United States/North and Central America/Cyborgs/Emerging Technologies/Machine Learning/New York University (NYU)

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

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