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热心

Polynomial Distinguishability of Timed Automataitly, i.e., using numbers. Because timed automata use numbers to represent time, they can be exponentially more compact than models that model time implicitly, i.e., using states..We show three results that are essential in order to exactly determine when timed automata are efficiently identifiable

overreach

俗艳

小步舞

https://doi.org/10.34157/978-3-648-15833-3orithm uses a representation which we call Binary Feature Grammars based on a set of features, capable of representing richly structured context free languages as well as some context sensitive languages. More precisely, we focus on a particular case of this representation where the features corresp

谄媚于人

,Wieviel Akzeptanz erträgt der Mensch?,ver, when to the question of converging to a target one adds computational constraints, the picture becomes even less clear: how much do queries or negative examples help? Can we find good algorithms that change their minds very little or that make very few errors? In order to approach these problem

ventilate

,Technik — Deutungen ihrer Entwicklung,awn according to a distribution defined by a rational stochastic language, .EES outputs a linear representation of a rational series which converges to the target. .EES can then be used to identify in the limit with probability one rational stochastic tree languages. However, when .EES deals with fi

类似思想

phlegm

展览

Katja Kanzler,Brigitte Georgi-Findlayble tree languages of arbitrarily many dimensions, so-called multi-dimensional trees. Trees over multi-dimensional tree domains have been defined by Rogers [3,4]. However, since the algorithm by Drewes and Högberg relies on classical finite state automata, these structures have to be represented in

Trypsin