Robotics & Machine Learning Daily News2024,Issue(Mar.14) :193-197.

'Classifying Documents Based On Machine Learning' in Patent Application Approval Process (USPTO 20240071121)

Robotics & Machine Learning Daily News2024,Issue(Mar.14) :193-197.

'Classifying Documents Based On Machine Learning' in Patent Application Approval Process (USPTO 20240071121)

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Abstract

The following quote was obtained by the news editors from the background informa tion supplied by the inventors: “Machine learning involves the use of data and a lgorithms to learn to perform a defined set of tasks accurately. Typically, a ma chine learning model can be defined using a number of approaches and then traine d, using training data, to perform the defined set of tasks. Once trained, a tra ined machine learning model may be used (e.g., performing inference) by providin g it with some unknown input data and having trained machine learning model perf orm the defined set of tasks on the input data. Machine learning may be used in many different applications (e.g., image classification, computer vision, natura l language processing, speech recognition, writing recognition, etc.).”

Key words

Cyborgs/Emerging Technologies/Legal Is sues/Machine Learning/Patent Application

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出版年

2024
Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
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