摘要：ABSTRACT The article deals with the problem of learning incrementally (on-line) in domains where the target concepts are context-dependent, so that changes in context can produce more or less radical changes in the associated concepts. ...

原文链接:http://www.researchgate.net/publication/227236099_Tracking_Context_Changes_through_Meta-Learning._Machine_Learning_27259-286

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