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A METHOD AND SYSTEM FOR TRAINING A MACHINE LEARNING MODEL FOR CLASSIFICATION OF COMPONENTS IN A MATERIAL STREAM
A METHOD AND SYSTEM FOR TRAINING A MACHINE LEARNING MODEL FOR CLASSIFICATION OF COMPONENTS IN A MATERIAL STREAM
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机译:一种用于训练机器学习模型的方法和系统,用于在材料流中分类组件的分类
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摘要
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摘要
A method and system for training a machine learning model configured to perform characterization of components in a material stream with a plurality of unknown components. A training reward associated with each unknown component within the plurality of unknown components in the material stream is determined, based on which at least one unknown component is physically isolated from the material stream by means of a separator unit, wherein the separator unit is configured to move the selected unknown component to a separate accessible compartment. The isolated at least one unknown component is analyzed for determining the ground truth label thereof, wherein the determined ground truth is used for training an incremental version of the machine learning model.
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