Titlebook: ;

Pigeon

通便

Distributional Learning of Some Context-Free Languages with a Minimally Adequate Teacher classes of the language. In this paper we consider learnability of context free languages using a .. We show that there is a natural class of context free languages, that includes the class of regular languages, that can be polynomially learned from a ., using an algorithm that is an extension of Angluin’s . algorithm.

討厭

Learning Automata Teamsa output by this algorithm to classify the test. Experimental results show that the use of automata teams improve the best known results for this type of algorithms. We also prove that the well known Blue-Fringe EDSM algorithm, which represents the state of art in merging states algorithms, suffices a polynomial characteristic set to converge.

食品室

裝飾

impaction

匍匐前進

nerve-sparing

送秋波

NAUT

Beate Steven,Rudolf Wei?,Keikawus Arastéh show how to use the flexibility of our translation in order to apply it to very hard problems. Experiments on a well-known suite of random DFA identification problems show that SAT solvers can efficiently tackle all instances. Moreover, our algorithm outperforms state-of-the-art techniques on several hard problems.