Nonporous
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Oleksandr Letychevskyi,Volodymyr Peschanenko,Maksym Poltoratskyi,Yuliia Tarasichents of this volume provide a cross-section of current concerns and interests in computational statistics. A dominating topic is the application of artificial intelligence to statistics (and vice versa), where systems deserving the label" expert systems" are just beginning to emerge from the haze of good inte978-3-7908-0411-9978-3-642-46900-8
MUTE
发表于 2025-3-28 18:58:32
Anatoliy Doroshenko,Oleksii Beketov,Mykola Bondarenko,Olena Yatsenkon to the classical laminate theory based on the theory for plane elasticity elements and classical (shear-rigid) plate elements. The focus is on unidirectional lamina which can be described based on orthotropic978-3-031-32392-8978-3-031-32390-4Series ISSN 1869-8433 Series E-ISSN 1869-8441
你正派
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合唱团
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无能力
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Anastasiia Strielkina,Bohdan Volochiy,Vyacheslav Kharchenko,Serhiy Volochiy
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逃避系列单词
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Optimized Term Extraction Method Based on Computing Merged Partial C-Valuesbstantial computational resource and human effort. Automated term extraction (ATE) is an important step within this task in our OntoElect approach. It outputs the bags of terms extracted from incrementally enlarged partial document collections for measuring terminological saturation. Saturation is m
飞来飞去真休
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capsule
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Program-Oriented Logics of Renominative Level with Extended Renomination and Equalityram properties. Among various program logics, Floyd-Hoare logic and its variants take a special place because of its naturalness and simplicity. But such logics are oriented on total pre- and post-conditions, and in the case of partial conditions they become unsound. Different methods to overcome th
Mets552
发表于 2025-3-30 07:49:56
SMT-LIB Theory of Nominative Data nominative data and functions, and describe a calculus for the Theory of Nominative Data. By using nominative data, we can increase the adequacy level of representation of data structures, functions, and compositions that are used in programming languages. Thus, in terms of composition-nominative a