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Titlebook: Algorithmic Learning Theory; 14th International C Ricard Gavaldá,Klaus P. Jantke,Eiji Takimoto Conference proceedings 2003 Springer-Verlag

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,Durchführung des Betriebsvergleiches,ueries. Moreover we show that there exists no polynomial time learning algorithm for finite unions of term trees by using restricted equivalence, membership and subset queries. This result indicates the hardness of learning finite unions of term trees in the query learning model.
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On the Complexity of Training a Single Perceptron with Programmable Synaptic Delaysion, we show that the representation problem for . which is an issue whether an .-variable Boolean function given in DNF (or as a disjunction of .(.) threshold gates) can be computed by a spiking neuron is co-NP-hard.
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https://doi.org/10.1007/b14273Variable; algorithm; algorithmic learning; algorithmic learning theory; algorithms; complexity; computatio
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978-3-540-20291-2Springer-Verlag Berlin Heidelberg 2003
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