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System and method for learning models from scarce and skewed training data
System and method for learning models from scarce and skewed training data
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机译：从稀缺和偏斜的训练数据中学习模型的系统和方法
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摘要
A system and method for learning models from scarce and/or skewed training data includes partitioning a data stream into a sequence of time windows. A most likely current class distribution to classify portions of the data stream is determined based on observing training data in a current time window and based on concept drift probability patterns using historical information.
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