论文标题
有效地积极学习PDFA
Towards Efficient Active Learning of PDFA
论文作者
论文摘要
我们根据三个主要方面提出了一种针对PDFA的新的主动学习算法：对状态的一致性，该状态考虑了下一符号概率分布，一种应对分布差异的量化以及有效的基于树的数据结构。实验显示有关参考实现的显着性能提高。
We propose a new active learning algorithm for PDFA based on three main aspects: a congruence over states which takes into account next-symbol probability distributions, a quantization that copes with differences in distributions, and an efficient tree-based data structure. Experiments showed significant performance gains with respect to reference implementations.
