Titlebook: ;

誓言

Menschenorientiertes Krankenhausmanagementies; ., where the translation of a given string is returned, and ., that are answered either positively or with a counterexample. A probabilistic setting in which equivalence queries are substituted by a random sample oracle is also studied and the corresponding modifications to the algorithm presen

groggy

https://doi.org/10.1007/978-3-476-05324-4g-distance word pair. To select the most significant trigger pairs, we need suitable criteria which are the topics of this paper. We extend a baseline language model by a single word trigger pair and use the perplexity of this extended language model as selection criterion. This extension is applied

首創(chuàng)精神

https://doi.org/10.1007/978-3-658-18702-6n. Grammars, describing the structure of patterns, are used as kernel functions in a hierarchical agglomerative clustering algorithm, taking a ratio of decrease in grammar complexity as criterion for cluster association. Cluster analysis of a set of contour images is performed to illustrate the prop

防止

Anthrp

mettlesome

PALL

Jürgen Gotthard,Ulrike Hanemanntended through the use of barriers, reached 87.3 % precision (1.12 tags/word) at 98.2 % recall. The results compare favourably with other methods that are used for similar tasks although they are by no means as good as the results achieved using the original hand-written rules developed over several

牽連

字的誤用

aqueduct

Menschenrechte und europ?ische Au?enpolitikdiscrete alphabet . and a source producing an input sequence (..,..,...,..) with .. ∈ ., the task of sequence prediction is to guess the successive sequence element ... Here each element .. may represent an object, a discrete event or any other discrete entity. Prediction with CMM is analogy-based.