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Titlebook: Context-Free Grammars; Covers, Normal Forms Anton Nijholt Book 1980 Springer-Verlag Berlin Heidelberg 1980 Formale Sprache.form.grammar.gra

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樓主: Chylomicron
21#
發(fā)表于 2025-3-25 07:23:26 | 只看該作者
22#
發(fā)表于 2025-3-25 08:33:08 | 只看該作者
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發(fā)表于 2025-3-25 13:25:07 | 只看該作者
24#
發(fā)表于 2025-3-25 15:58:28 | 只看該作者
25#
發(fā)表于 2025-3-25 23:39:07 | 只看該作者
Pharmacogenetic Algorithms,to clinical practice. Algorithms have been developed to guide treatment recommendations based on studies and clinical trials. The availability of guidelines and databases provide evidence for the use of validated pharmacogenetic algorithms and demonstrate a benefit when implemented compared to stand
26#
發(fā)表于 2025-3-26 00:33:09 | 只看該作者
The Acquisition of Time Talk: Relations Between Child and Adult Grammars theory makes predictions different from those of a competing theory, a strong decentring hypothesis. Experimental results and data from spontaneous speech are examined, and the predictions of the first theory are borne out: young English-speaking children express notions of temporal ordering as wel
27#
發(fā)表于 2025-3-26 08:17:01 | 只看該作者
Conference proceedings 2006site of the Democritus University of Thrace, July 3-7, 2006. Within the context of ECF16 forty six special symposia and sessions were organized by renowned experts from around the world. The present volume is devoted to the symposium on "Measuring, Monitoring and Modeling Concrete Properties" (MMMCP
28#
發(fā)表于 2025-3-26 11:29:55 | 只看該作者
Developing the Future Stories of Companies: Open and Closed Story Worlds,ory setting? Closed story settings motivate employees by fear and offer few options, while open stories motivate employees by giving the work in the company a deeper meaning and offer lots of options. This paper explains the difference between both story styles and shows the process for developing successful future stories.
29#
發(fā)表于 2025-3-26 15:53:21 | 只看該作者
Shujiro Urata,Ken-Ichi Akao,Ayu Washizuov times as compared to conventional ESNs. The proposed framework shows the potential of using machine learning combined with prior physical knowledge to improve the time-accurate prediction of chaotic dynamical systems.
30#
發(fā)表于 2025-3-26 20:15:35 | 只看該作者
Introduction and Overviewistical and psycholinguistic models of the translation process that are facilitated by the TPR-DB. This chapter gives an overview of the contributions and provides a background for the work reported in the volume.
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