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Processing dynamic data within an adaptive oracle-trained learning system using dynamic data set distribution optimization
Processing dynamic data within an adaptive oracle-trained learning system using dynamic data set distribution optimization
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机译:使用动态数据集分发优化处理自适应Oracle培训的学习系统内的动态数据
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摘要
In general, embodiments of the present invention provide systems, methods and computer readable media for an adaptive oracle-trained learning framework for automatically building and maintaining models that are developed using machine learning algorithms. In embodiments, the framework leverages at least one oracle (e.g., a crowd) for automatic generation of high-quality training data to use in deriving a model. Once a model is trained, the framework monitors the performance of the model and, in embodiments, leverages active learning and the oracle to generate feedback about the changing data for modifying training data sets while maintaining data quality to enable incremental adaptation of the model.
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