首页|'Training Data Synthesis For Machine Learning' in Patent Application Approval Pr ocess (USPTO 20240355100)
'Training Data Synthesis For Machine Learning' in Patent Application Approval Pr ocess (USPTO 20240355100)
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The following quote was obtained by the news editors from the background informa tion supplied bythe inventors: “Machine learning models may be trained using tr aining data, with the accuracy of themodels generally proportional to the quant ity and quality of the training data provided. The training datamay be provided as “pairs”, including the raw data (e.g., an image or another object) and one o r morelabels that the raw data represents. These pairs are employed to form “co nnections” within the model,and eventually the model may be able to predict a l abel associated with new data, based on the data itself.Generally, the data are provided to a machine learning model from manually labeled data sets, which istime intensive. Unsupervised learning methods also exist, but without manual lab els to train the machinelearning model, unsupervised techniques tend to involve clustering algorithms, which may demand modelrefinements to provide meaningful clusters.
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