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Study on the Non-expandability of DNF and Its Application to Incremental Induction

机译:DNF的不可扩展性及其在增量归纳中的应用

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One key problem for incremental learning is to maintain concept consistency. AQ learning algorithm based on star is essentially a generalized learning scheme. When used incrementally, it needs to eliminate conflict between the concept already learned and the new events to be learnt. This paper presents a new learning scheme that learns non-expandable DNF incrementally and is of conflict-free.
机译:增量学习的一个关键问题是保持概念的一致性。基于星的AQ学习算法本质上是一种广义的学习方案。当逐步使用时,它需要消除已经学习的概念与要学习的新事件之间的冲突。本文提出了一种新的学习方案,该方案以增量方式学习不可扩展的DNF,并且没有冲突。

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