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A Universal Kernel for Learning Regular Languages
This video was recorded at 5th International Workshop on Mining and Learning with Graphs (MLG), Firenze 2007. We give a universal kernel that renders all the regular languages linearly separable. We are not able to compute this kernel efficiently and conjecture that it is intractable, but we do have an efficient ǫ-approximation
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