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This paper rst describes the structure and results of the Abbadingo One DFA Learning Competition. The competition was designed to encourage work on algorithms that scale wellóboth to larger DFAs and to sparser training data. We then describe and discuss the winning algorithm of Rodney Price, which orders state merges according to the amount of evidence in their favor. A second winning algorithm, of Hugues Juill· e, will be described in a separate paper.

Results of the Abbadingo one DFA learning competition and a new evidence-driven state merging algorithm