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Lecture Notes in Computer Science
We present in this paper a new learning problem called learning distributions from experts. In the case we study the experts are stochastic deterministic finite automata (sdfa). We deal with the situation arising when wanting to learn sdfa from unrepeated examples. This is intended to model the situation where the data is not generated automatically, but in an order dependent of its probability, as would be the case with the data presented by a human expert. It is then impossible to usedoi:10.1007/bfb0054066 fatcat:mtep6bidkbghbkvnkchqtym6q4