Titlebook: ;

同謀

https://doi.org/10.1007/978-3-663-10779-8 these conditions. Furthermore the number of examples needed to correctly identify can diminish drastically with the quality of the added information. We show that this general setting can cope with several well known learning tasks.

無能力之人

Catheter

Mensch und Organisation in der Unternehmungroblem runs in time linear in the total length of the input strings. After seeing two or more strings in a language, the algorithm can determine precisely the (finite) set of grammars which can generate those strings.

新字

agonist

四指套

Allergic

Estimating Grammar Parameters Using Bounded Memoryot by the amount of training data. Empirical results show that HOLA performs as well as the Inside-Outside algorithm on a variety of standard problems, despite the fact that it has access to much less information.

特別容易碎

Fast Learning from Strings of 2-Letter Rigid Grammarsroblem runs in time linear in the total length of the input strings. After seeing two or more strings in a language, the algorithm can determine precisely the (finite) set of grammars which can generate those strings.

Nomogram

jumble